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https://opensource.guide/bg/how-to-contribute/ | Как да допринесете за отворения код | Open Source Guides Относно нас Допринеси العربية Български Bangla Deutsch Ελληνικά English Español Farsi Français Hindi Magyar Indonesia Italiano 日本語 한국어 Malay Nederlands Pidgin Polski Português Romanian Русский संस्कृतम् Swahili தமிழ் Türkçe 简体中文 繁體中文 Open Source Guides Как да допринесете за отворения код Искате ли да допринесете за отворен код? Ръководство за правене на приноси с отворен код за начинаещи и за ветерани. Съдържание Защо да допринасяте за отворен код? Какво означава да допринасяш Ориентиране към нов проект Намиране на проект, за който да допринесете Как да изпратите принос Какво се случва, след като изпратите своя принос Защо да допринасяте за отворен код? Работата върху [freenode] ми помогна да спечеля много от уменията, които по-късно използвах за обучението си в университета и действителната си работа. Мисля, че работата по проекти с отворен код ми помага толкова, колкото и на проекта! — @errietta , “Защо обичам да допринасям за софтуер с отворен код” Приносът към отворен код може да бъде възнаграждаващ начин за учене, преподаване и изграждане на опит в почти всяко умение, което можете да си представите. Защо хората допринасят за отворен код? Много причини! Подобрете софтуера, на който разчитате Много сътрудници с отворен код започват като потребители на софтуер, за който допринасят. Когато намерите грешка в софтуер с отворен код, който използвате, може да искате да погледнете източника, за да видите дали можете да го коригирате сами. Ако случаят е такъв, тогава връщането на корекцията е най-добрият начин да се уверите, че вашите приятели (и вие самите, когато актуализирате до следващото издание) ще могат да се възползват от нея. Подобрете съществуващите умения Независимо дали става въпрос за кодиране, дизайн на потребителски интерфейс, графичен дизайн, писане или организиране, ако търсите практика, има задача за вас по проект с отворен код. Запознайте се с хора, които се интересуват от подобни неща Проекти с отворен код с топли, гостоприемни общности карат хората да се връщат с години. Много хора създават приятелства за цял живот чрез участието си в отворен код, независимо дали се срещат по време на конференции или късно вечерни онлайн чатове за бурито. Намерете ментори и учете другите Работата с други по споделен проект означава, че ще трябва да обясните как правите нещата, както и да помолите други хора за помощ. Действията на учене и преподаване могат да бъдат удовлетворяваща дейност за всички участници. Изградете публични артефакти, които ви помагат да развиете репутация (и кариера) По дефиниция цялата ви работа с отворен код е публична, което означава, че получавате безплатни примери, които да вземете навсякъде като демонстрация на това, което можете да правите. Научете умения за хора Отвореният код предлага възможности за практикуване на лидерски и управленски умения, като разрешаване на конфликти, организиране на екипи от хора и приоритизиране на работата. Овластяващо е да можеш да правиш промени, дори малки Не е нужно да сте сътрудник през целия живот, за да се насладите на участието в отворен код. Случвало ли ви се е да видите печатна грешка в уебсайт и да ви се иска някой да я поправи? В проект с отворен код можете да направите точно това. Отвореният код помага на хората да се чувстват независими от живота си и начина, по който преживяват света, и това само по себе си е удовлетворяващо. Какво означава да допринасяш Ако сте нов сътрудник на отворен код, процесът може да бъде смущаващ. Как намирате правилния проект? Ами ако не знаете как да кодирате? Ами ако нещо се обърка? Не се притеснявайте! Има всякакви начини да се включите в проект с отворен код и няколко съвета ще ви помогнат да извлечете максимума от опита си. Не е нужно да добавяте код Често срещано погрешно схващане относно приноса към отворен код е, че трябва да допринесете с код. Всъщност често другите части на проекта са най-пренебрегвани или пренебрегвани . Ще направите огромна услуга на проекта, като предложите да се включите с тези видове принос! Известен съм с работата си върху CocoaPods, но повечето хора не знаят, че всъщност не правя реална работа върху самия инструмент CocoaPods. Времето ми по проекта минава предимно в правене на неща като документация и работа по брандиране. — @orta , “Преминаване към OSS по подразбиране” Дори ако обичате да пишете код, други видове приноси са чудесен начин да се включите в проект и да се срещнете с други членове на общността. Изграждането на тези взаимоотношения ще ви даде възможности да работите върху други части на проекта. Обичате ли да планирате събития? Организирайте семинари или срещи за проекта, както @fzamperin направи за NodeSchool Организирайте конференция на проекта (ако има такава) Помогнете на членовете на общността да намерят правилните конференции и да представят предложения за изказване Обичате ли да проектирате? Преструктурирайте оформленията, за да подобрите използваемостта на проекта Извършете потребителско проучване, за да реорганизирате и прецизирате навигацията или менютата на проекта, както предлага Drupal Съставете ръководство за стил, за да помогнете на проекта да има последователен визуален дизайн Създайте изкуство за тениски или ново лого, както направиха сътрудниците на hapi.js Обичаш ли да пишеш? Напишете и подобрете документацията на проекта, както @CBID2 направи за документацията на OpenSauced Подгответе папка с примери, показващи как се използва проектът Стартирайте бюлетин за проекта или подредете акценти от пощенския списък, както направи @opensauced за своя продукт Напишете уроци за проекта, както направиха сътрудниците на PyPA Напишете превод за документацията на проекта, както @frontendwizard направи за инструкциите за CSS Flexbox предизвикателството на freeCodeCamp Сериозно, [документацията] е изключително важна. Документацията досега беше страхотна и беше убийствена характеристика на Babel. Има раздели, които със сигурност биха могли да поработят и дори добавянето на параграф тук или там е изключително ценено. — @kittens, “Покана за сътрудници” Обичате ли да организирате? Връзка към дублирани проблеми и предлагане на теми за нови проблеми, за да поддържате организацията Прегледайте отворените проблеми и предложете затваряне на стари, както направи @nzakas за ESLint Задавайте изясняващи въпроси по наскоро открити въпроси, за да придвижите дискусията напред Обичате ли да кодирате? Намерете открит проблем, който да решите, както @dianjin направи за Leaflet Попитайте дали можете да помогнете за записването на нова функция Автоматизирайте настройките на проекта Подобрете инструментите и тестването Обичате ли да помагате на хората? Отговорете на въпроси относно проекта напр. Stack Overflow ( като този пример на Postgres ) или Reddit Отговаряйте на въпроси за хора по отворени въпроси Помогнете за модерирането на дискусионните табла или каналите за разговори Обичате ли да помагате на другите да кодират? Прегледайте кода на изявленията на други хора Напишете уроци за това как може да се използва проект Предложете да наставлявате друг сътрудник, както @ereichert направи за @bronzdoc в Rust Не е нужно просто да работите върху софтуерни проекти! Докато “отворен код” често се отнася до софтуер, можете да си сътрудничите по почти всичко. Има книги, рецепти, списъци и класове, които се разработват като проекти с отворен код. Например: @sindresorhus подготвя списък с “страхотни” списъци @h5bp поддържа списък с потенциални въпроси за интервю за кандидати за фронтенд разработчици @stuartlynn и @nicole-a-tesla направиха колекция от забавни факти за пуфините Дори и да сте разработчик на софтуер, работата по проект за документация може да ви помогне да започнете работа с отворен код. Често е по-малко смущаващо да работите по проекти, които не включват код, а процесът на сътрудничество ще изгради вашата увереност и опит. Ориентиране към нов проект Ако отидете на инструмент за проследяване на проблеми и нещата изглеждат объркващи, не сте само вие. Тези инструменти изискват много имплицитни знания, но хората могат да ви помогнат да се ориентирате в тях и можете да им задавате въпроси. — @shaunagm, “Как да допринесете за отворения код” За нещо повече от поправка на печатна грешка, да допринесете за отворен код е като да отидете до група непознати на парти. Ако започнете да говорите за лами, докато те бяха потънали в дискусия за златните рибки, вероятно ще ви погледнат малко странно. Преди да се включите сляпо със собствените си предложения, започнете, като се научите как да четете стаята. По този начин увеличавате шансовете вашите идеи да бъдат забелязани и чути. Анатомия на проект с отворен код Всяка общност с отворен код е различна. Прекарването на години в един проект с отворен код означава, че сте се запознали с един проект с отворен код. Преминете към друг проект и може да откриете, че речникът, нормите и стиловете на комуникация са напълно различни. Въпреки това много проекти с отворен код следват подобна организационна структура. Разбирането на различните роли в общността и цялостния процес ще ви помогне бързо да се ориентирате към всеки нов проект. Типичен проект с отворен код има следните типове хора: Автор: Лицето/лицата или организацията, създали проекта Собственик: Лицето/лицата, което има административна собственост върху организацията или хранилището (не винаги е същото като оригиналния автор) Поддържащи: Сътрудници, които са отговорни за управлението на визията и управлението на организационните аспекти на проекта (Те също могат да бъдат автори или собственици на проекта.) Сътрудници: Всеки, който е допринесъл с нещо обратно към проекта Членове на общността: Хората, които използват проекта. Те могат да бъдат активни в разговорите или да изразят мнението си за посоката на проекта По-големите проекти могат също да имат подкомисии или работни групи, фокусирани върху различни задачи, като инструменти, сортиране, модериране на общността и организиране на събития. Потърсете в уебсайта на даден проект страница за “екип” или в хранилището за документация за управление, за да намерите тази информация. Към проекта има и документация. Тези файлове обикновено са изброени в горното ниво на хранилището. ЛИЦЕНЗ: По дефиниция всеки проект с отворен код трябва да има лиценз за отворен код . Ако проектът няма лиценз, той не е с отворен код. README: README е ръководството с инструкции, което приветства новите членове на общността в проекта. Той обяснява защо проектът е полезен и как да започнете. ПРИНОС: Докато README помагат на хората да използват проекта, допринасящите документи помагат на хората да допринасят за проекта. Той обяснява какви видове вноски са необходими и как работи процесът. Въпреки че не всеки проект има ПРИНОСЯЩ файл, присъствието му сигнализира, че това е приветлив проект, за който можете да допринесете. Добър пример за ефективно ръководство за принос би било това от хранилището на документи на Codecademy . CODE_OF_CONDUCT: Кодексът за поведение определя основните правила за свързаното поведение на участниците и спомага за създаването на приятелска, гостоприемна среда. Въпреки че не всеки проект има файл CODE_OF_CONDUCT, присъствието му сигнализира, че това е приветлив проект, за който можете да допринесете. Друга документация: Може да има допълнителна документация, като уроци, инструкции или политики за управление, особено за по-големи проекти като Astro Docs . И накрая, проектите с отворен код използват следните инструменти за организиране на дискусия. Четенето на архивите ще ви даде добра представа за това как общността мисли и работи. Проследяване на проблеми: Където хората обсъждат въпроси, свързани с проекта. Заявки за изтегляне: Когато хората обсъждат и преглеждат промените, които са в ход, независимо дали са за подобряване на реда код на сътрудника, използването на граматика, използването на изображения и т.н. Някои проекти, като MDN Web Docs , използват определени потоци за действие на GitHub, за да автоматизират и ускорят своите прегледи на кода. Дискусионни форуми или пощенски списъци: Някои проекти могат да използват тези канали за теми за разговор (например “Как да…“ или “Какво мислиш за…“ вместо грешка отчети или заявки за функции). Други използват инструмента за проследяване на проблеми за всички разговори. Добър пример за това би бил седмичният бюлетин на CHAOSS Синхронен чат канал: Някои проекти използват чат канали (като Slack или IRC) за непринуден разговор, сътрудничество и бърз обмен. Добър пример за това би била общността на Discord на EddieHub . Намиране на проект, за който да допринесете Сега, след като разбрахте как работят проектите с отворен код, време е да намерите проект, за който да допринесете! Ако никога преди не сте допринасяли за отворения код, приемете съвет от президента на САЩ Джон Ф. Кенеди, който веднъж каза: “Не питайте какво вашата страна може да направи за вас – попитайте какво можете да направите вие за вашата страна.”_ Не питайте какво вашата страна може да направи за вас - попитайте какво можете да направите за вашата страна. — Библиотека Джон Ф. Кенеди Приносът към отворения код се случва на всички нива, във всички проекти. Не е нужно да мислите прекалено много какъв точно ще бъде първият ви принос или как ще изглежда. Вместо това започнете, като помислите за проектите, които вече използвате или искате да използвате. Проектите, за които ще участвате активно, са тези, към които се връщате. В рамките на тези проекти, всеки път, когато се хванете, че мислите, че нещо може да бъде по-добро или различно, действайте според инстинкта си. Отвореният код не е изключителен клуб; направено е от хора точно като вас. “Отворен код” е просто фантастичен термин за третиране на световните проблеми като поправими. Може да сканирате README и да намерите повредена връзка или правописна грешка. Или сте нов потребител и сте забелязали, че нещо е счупено, или проблем, който смятате, че наистина трябва да бъде в документацията. Вместо да го игнорирате и да продължите напред, или да помолите някой друг да го поправи, вижте дали можете да помогнете, като се включите. Това е смисълът на отворения код! Според проучване, проведено от Игор Щайнмахер и други изследователи на компютърните науки, 28% от случайните приноси в отворен код са документация, като като корекции на печатни грешки, преформатиране или писане на превод. Ако търсите съществуващи проблеми, които можете да коригирате, всеки проект с отворен код има страница /contribute , която подчертава лесни за начинаещи проблеми, с които можете да започнете. Отидете до главната страница на хранилището в GitHub и добавете /contribute в края на URL адреса (например https://github.com/facebook/react/contribute ). Можете също да използвате един от следните ресурси, за да ви помогне да откриете и допринесете за нови проекти: GitHub Explore Open Source Friday First Timers Only CodeTriage 24 Pull Requests Up For Grabs First Contributions SourceSort OpenSauced Контролен списък, преди да допринесете Когато намерите проект, за който искате да допринесете, направете бързо сканиране, за да се уверите, че проектът е подходящ за приемане на приноси. В противен случай вашата упорита работа може никога да не получи отговор. Ето един удобен контролен списък, за да оцените дали даден проект е добър за нови сътрудници. Отговаря на определението за отворен код Има ли лиценз? Обикновено в корена на хранилището има файл, наречен ЛИЦЕНЗ. Проектът активно приема вноски Погледнете активността на комит в главния клон. В GitHub можете да видите тази информация в раздела Insights на началната страница на хранилище, като например Virtual-Coffee Кога беше последният ангажимент? Колко сътрудници има проектът? Колко често хората се ангажират? (В GitHub можете да намерите това, като щракнете върху "Комити" в горната лента.) След това разгледайте проблемите на проекта. Колко отворени въпроси има? Поддържащите реагират ли бързо на проблеми, когато те бъдат отворени? Има ли активна дискусия по проблемите? Проблемите скорошни ли са? Приключват ли се проблемите? (В GitHub щракнете върху раздела "затворен" на страницата с проблеми, за да видите затворени проблеми.) Сега направете същото за заявките за изтегляне на проекта. Колко отворени заявки за изтегляне има? Поддържащите реагират ли бързо на заявки за изтегляне, когато бъдат отворени? Има ли активно обсъждане на заявките за изтегляне? Скорошни ли са заявките за изтегляне? Колко наскоро бяха обединени всички заявки за изтегляне? (В GitHub щракнете върху раздела "затворено" на страницата "Заявки за изтегляне", за да видите затворени PR-и.) Проектът е приветлив Проект, който е приятелски настроен и гостоприемен, сигнализира, че те ще бъдат възприемчиви към нови сътрудници. Поддържащите отговарят ли услужливо на въпроси в проблеми? Хората дружелюбни ли са в проблемите, дискусионния форум и чата (например IRC или Slack)? Преглеждат ли се заявките за изтегляне? Поддържащите благодарят ли на хората за техния принос? Всеки път, когато видите дълга нишка, проверете на място отговорите от основните разработчици, идващи късно в нишката. Обобщават ли конструктивно и предприемат ли стъпки, за да доведат нишката до решение, като същевременно остават учтиви? Ако видите да се водят много пламъчни войни, това често е знак, че енергията отива в спор, вместо в развитие. — @kfogel, Произвеждайте OSS Как да изпратите принос Намерихте проект, който харесвате, и сте готови да дадете своя принос. Най-накрая! Ето как да получите своя принос по правилния начин. Ефективна комуникация Независимо дали сте сътрудник еднократно, или се опитвате да се присъедините към общност, работата с други е едно от най-важните умения, които ще развиете в отворен код. [Като нов сътрудник,] бързо осъзнах, че трябва да задавам въпроси, ако искам да мога да затворя проблема. Прегледах набързо кодовата база. След като усетих какво се случва, помолих за повече насоки. И готово! Успях да разреша проблема, след като получих всички необходими подробности. — @shubheksha, Много неравномерно пътешествие за начинаещи през света на отворения код Преди да отворите проблем или заявка за изтегляне, или да зададете въпрос в чата, имайте предвид тези моменти, за да помогнете на вашите идеи да се реализират ефективно. Дайте контекст. Помогнете на другите да навлязат бързо. Ако попаднете на грешка, обяснете какво се опитвате да направите и как да я възпроизведете. Ако предлагате нова идея, обяснете защо смятате, че би била полезна за проекта (не само за вас!). 😇 “X не се случва, когато направя Y” 😢 “X е повреден! Моля, поправете го.” Напишете си домашното предварително. Добре е да не знаете нещата, но покажете, че сте опитали. Преди да поискате помощ, не забравяйте да проверите README на проекта, документацията, проблемите (отворени или затворени), пощенския списък и потърсете в интернет за отговор. Хората ще го оценят, когато демонстрирате, че се опитвате да учите. 😇 “Не съм сигурен как да внедря X. Проверих помощните документи и не намерих никакви споменавания.” 😢 “Как да направя X?” Поддържайте заявките кратки и директни. Подобно на изпращането на имейл, всеки принос, без значение колко прост или полезен, изисква преглед от някой друг. Много проекти имат повече входящи заявки, отколкото хора, които могат да помогнат. Бъдете кратки. Ще увеличите шанса някой да може да ви помогне. 😇 “Бих искал да напиша урок за API.” 😢 “Онзи ден карах по магистралата и спрях за газ и тогава ми хрумна тази невероятна идея за нещо, което трябва да направим, но преди да обясня това, нека ви покажа…“ Пазете цялата комуникация публична. Въпреки че е изкушаващо, не се свързвайте лично с поддържащите, освен ако не трябва да споделите чувствителна информация (като проблем със сигурността или сериозно нарушение на поведението). Когато поддържате разговора публичен, повече хора могат да научат и да се възползват от вашия обмен. Дискусиите могат сами по себе си да бъдат принос. 😇 (като коментар) “@-maintainer Здравейте! Как да продължим с този PR?” 😢 (като имейл) “Здравейте, съжалявам, че ви безпокоя по имейл, но се чудех дали сте имали възможност да прегледате моя PR” Добре е да задавате въпроси (но бъдете търпеливи!). Всеки е бил нов в проекта в някакъв момент и дори опитните сътрудници трябва да навлизат в крак, когато разглеждат нов проект. По същия принцип дори дългогодишните поддържащи не винаги са запознати с всяка част от проекта. Покажете им същото търпение, което бихте искали те да проявяват към вас. 😇 “Благодаря, че разгледахте тази грешка. Следвах вашите предложения. Ето резултата.” 😢 “Защо не можете да решите проблема ми? Това не е ли вашият проект?” Уважавайте решенията на общността. Вашите идеи може да се различават от приоритетите или визията на общността. Те могат да предложат обратна връзка или да решат да не следват вашата идея. Въпреки че трябва да обсъждате и търсите компромис, поддържащите трябва да живеят с вашето решение по-дълго, отколкото вие ще го направите. Ако не сте съгласни с тяхната посока, винаги можете да работите върху своя собствена вилица или да започнете свой собствен проект. 😇 “Разочарован съм, че не можете да подкрепите моя случай на употреба, но както обяснихте, той засяга само малка част от потребителите, разбирам защо. Благодаря, че ме изслушахте.” 😢 “Защо не подкрепите моя случай на употреба? Това е неприемливо!” Преди всичко го поддържайте елегантно. Отвореният код се състои от сътрудници от цял свят. Контекстът се губи между езиците, културите, географията и часовите зони. Освен това писмената комуникация прави по-трудно предаването на тон или настроение. Предполагайте добри намерения в тези разговори. Добре е учтиво да отхвърлите идея, да поискате повече контекст или да изясните допълнително позицията си. Просто се опитайте да оставите интернет по-добро място, отколкото когато сте го намерили. Събиране на контекст Преди да предприемете нещо, направете бърза проверка, за да се уверите, че идеята ви не е била обсъждана другаде. Прегледайте README на проекта, проблеми (отворени и затворени), пощенски списък и Stack Overflow. Не е нужно да прекарвате часове в разглеждане на всичко, но бързото търсене на няколко ключови термина върши дълъг път. Ако не можете да намерите идеята си другаде, вие сте готови да предприемете ход. Ако проектът е в GitHub, вероятно ще комуникирате, като направите следното: Повдигане на проблем: Това е като започване на разговор или дискусия Заявките за изтегляне са за започване на работа по решение. Канали за комуникация: Ако проектът има определен Discord, IRC или Slack канал, помислете дали да започнете разговор или да поискате разяснение относно вашия принос. Преди да отворите проблем или заявка за изтегляне, проверете допринасящите документи на проекта (обикновено файл, наречен CONTRIBUTING или в README), за да видите дали трябва да включите нещо конкретно. Например, те могат да поискат да следвате шаблон или да изискват да използвате тестове. Ако искате да направите значителен принос, отворете проблем, който да попитате, преди да работите по него. Полезно е да гледате проекта известно време (в GitHub, можете да щракнете върху “Гледане” , за да бъдете уведомени за всички разговори) и да стигнете до познавайте членовете на общността, преди да вършите работа, която може да не бъде приета. Ще научите много , като вземете един проект, който активно използвате, „гледате“ го в GitHub и четете всеки брой и PR. — @gaearon за присъединяване към проекти Отваряне на проблем Обикновено трябва да отворите проблем в следните ситуации: Докладвайте за грешка, която не можете да разрешите сами Обсъдете тема или идея на високо ниво (например общност, визия или политики) Предложете нова функция или друга идея за проект Съвети за комуникация по проблеми: Ако видите отворен проблем, с който искате да се заемете , коментирайте проблема, за да уведомите хората, че работите по него. По този начин е по-малко вероятно хората да дублират вашата работа. Ако даден проблем е открит преди известно време, е възможно той да се адресира някъде другаде или вече да е разрешен, така че коментирайте, за да поискате потвърждение, преди да започнете работа. Ако сте отворили проблем, но сте разбрали отговора по-късно сами, коментирайте проблема, за да уведомите хората, след което затворете проблема. Дори документирането на този резултат е принос към проекта. Отваряне на заявка за изтегляне Обикновено трябва да отворите заявка за изтегляне в следните ситуации: Изпратете малки корекции като печатна грешка, повредена връзка или очевидна грешка. Започнете работа по принос, който вече е поискан или който вече сте обсъждали в даден брой. Заявката за изтегляне не трябва да представлява завършена работа. Обикновено е по-добре да отворите заявка за изтегляне рано, така че другите да могат да гледат или да дадат обратна връзка за напредъка ви. Просто го отворете като “чернова” или маркирайте като “WIP” (Работа в процес) в реда за тема или в секциите “Бележки към рецензентите”, ако са предоставени (или можете просто да създадете свой собствен. Подобно на това: **## Бележки към рецензента** ). Винаги можете да добавите още ангажименти по-късно. Ако проектът е в GitHub, ето как да изпратите заявка за изтегляне: Разклонете хранилището и го клонирайте локално. Свържете вашето локално към оригиналното хранилище “нагоре по веригата”, като го добавите като дистанционно. Изтегляйте често промените от “нагоре по веригата”, така че да сте в течение, така че когато изпратите заявката си за изтегляне, конфликтите при сливане ще бъдат по-малко вероятни. (Вижте по-подробни инструкции тук .) Създайте клон за вашите редакции. Посочете всички съответни проблеми или подкрепяща документация във вашия PR (например “Затваря #37.”) Включете екранни снимки преди и след , ако вашите промени включват разлики в HTML/CSS. Плъзнете и пуснете изображенията в тялото на вашата заявка за изтегляне. Тествайте промените си! Стартирайте промените си срещу всички съществуващи тестове, ако съществуват, и създайте нови, когато е необходимо. Важно е да се уверите, че вашите промени не нарушават съществуващия проект. Допринесете в стила на проекта според възможностите си. Това може да означава използване на отстъпи, точка и запетая или коментари по различен начин, отколкото бихте направили във вашето собствено хранилище, но улеснява поддържащия да слива, другите да разбират и поддържат в бъдеще. Ако това е първата ви заявка за изтегляне, вижте Направете заявка за изтегляне , която @kentcdodds създаде като видеоурок с инструкции. Можете също така да практикувате да правите заявка за изтегляне в хранилището Първи вноски , създадено от @Roshanjossey. Какво се случва, след като изпратите своя принос Преди да започнем да празнуваме, едно от следните ще се случи, след като изпратите своя принос: 😭 Не получавате отговор Надяваме се, че сте проверили проекта за признаци на активност , преди да направите принос. Дори при активен проект обаче е възможно вашият принос да не получи отговор. Ако не сте получили отговор повече от седмица, е честно да отговорите учтиво в същата тема, като помолите някого за преглед. Ако знаете името на подходящия човек, който да прегледа вашия принос, можете да го споменете с @ в тази нишка. Не се свързвайте лично с този човек ; не забравяйте, че публичната комуникация е жизненоважна за проектите с отворен код. Ако дадете учтиво напомняне и все още не получите отговор, възможно е никой никога да не отговори. Чувството не е страхотно, но не позволявайте това да ви обезсърчава! 😄 Има много възможни причини, поради които не сте получили отговор, включително лични обстоятелства, които може да са извън вашия контрол. Опитайте се да намерите друг проект или начин да допринесете. Ако не друго, това е добра причина да не инвестирате твърде много време в даването на принос, преди другите членове на общността да са ангажирани и отзивчиви. 🚧 Някой иска промени във вашия принос Обичайно е да бъдете помолени да направите промени във вашия принос, независимо дали това е обратна връзка относно обхва | 2026-01-13T09:29:17 |
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https://rust-lang.github.io/rust-clippy/stable/index.html#assign_op_pattern | Clippy Lints Theme Ayu Coal Light Navy Rust Disable keyboard shortcuts Clippy Lints Total number: 795 Lints search and filtering only works with JS enabled. :( Lint levels 4 All None Lint groups 9 All Default None Version 0 Clear filters Applicability 4 All None Filter: Clear absolute_paths ¶ 📋 restriction allow What it does Checks for usage of items through absolute paths, like std::env::current_dir . Why restrict this? Many codebases have their own style when it comes to importing, but one that is seldom used is using absolute paths everywhere . This is generally considered unidiomatic, and you should add a use statement. The default maximum segments (2) is pretty strict, you may want to increase this in clippy.toml . Note: One exception to this is code from macro expansion - this does not lint such cases, as using absolute paths is the proper way of referencing items in one. Known issues There are currently a few cases which are not caught by this lint: Macro calls. e.g. path::to::macro!() Derive macros. e.g. #[derive(path::to::macro)] Attribute macros. e.g. #[path::to::macro] Example let x = std::f64::consts::PI; Use any of the below instead, or anything else: use std::f64; use std::f64::consts; use std::f64::consts::PI; let x = f64::consts::PI; let x = consts::PI; let x = PI; use std::f64::consts as f64_consts; let x = f64_consts::PI; Configuration absolute-paths-allowed-crates : Which crates to allow absolute paths from (default: [] ) absolute-paths-max-segments : The maximum number of segments a path can have before being linted, anything above this will be linted. (default: 2 ) Applicability: Unspecified (?) Added in: 1.73.0 Related Issues View Source absurd_extreme_comparisons ¶ 📋 correctness deny What it does Checks for comparisons where one side of the relation is either the minimum or maximum value for its type and warns if it involves a case that is always true or always false. Only integer and boolean types are checked. Why is this bad? An expression like min <= x may misleadingly imply that it is possible for x to be less than the minimum. Expressions like max < x are probably mistakes. Known problems For usize the size of the current compile target will be assumed (e.g., 64 bits on 64 bit systems). This means code that uses such a comparison to detect target pointer width will trigger this lint. One can use mem::sizeof and compare its value or conditional compilation attributes like #[cfg(target_pointer_width = "64")] .. instead. Example let vec: Vec<isize> = Vec::new(); if vec.len() <= 0 {} if 100 > i32::MAX {} Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source alloc_instead_of_core ¶ 📋 restriction allow What it does Finds items imported through alloc when available through core . Why restrict this? Crates which have no_std compatibility and may optionally require alloc may wish to ensure types are imported from core to ensure disabling alloc does not cause the crate to fail to compile. This lint is also useful for crates migrating to become no_std compatible. Known problems The lint is only partially aware of the required MSRV for items that were originally in std but moved to core . Example use alloc::slice::from_ref; Use instead: use core::slice::from_ref; Applicability: MachineApplicable (?) Added in: 1.64.0 Related Issues View Source allow_attributes ¶ 📋 restriction allow What it does Checks for usage of the #[allow] attribute and suggests replacing it with the #[expect] attribute (See RFC 2383 ) This lint only warns outer attributes ( #[allow] ), as inner attributes ( #![allow] ) are usually used to enable or disable lints on a global scale. Why is this bad? #[expect] attributes suppress the lint emission, but emit a warning, if the expectation is unfulfilled. This can be useful to be notified when the lint is no longer triggered. Example #[allow(unused_mut)] fn foo() -> usize { let mut a = Vec::new(); a.len() } Use instead: #[expect(unused_mut)] fn foo() -> usize { let mut a = Vec::new(); a.len() } Configuration msrv : The minimum rust version that the project supports. Defaults to the rust-version field in Cargo.toml (default: current version ) Applicability: MachineApplicable (?) Added in: 1.70.0 Related Issues View Source allow_attributes_without_reason ¶ 📋 restriction allow What it does Checks for attributes that allow lints without a reason. Why restrict this? Justifying each allow helps readers understand the reasoning, and may allow removing allow attributes if their purpose is obsolete. Example #![allow(clippy::some_lint)] Use instead: #![allow(clippy::some_lint, reason = "False positive rust-lang/rust-clippy#1002020")] Configuration msrv : The minimum rust version that the project supports. Defaults to the rust-version field in Cargo.toml (default: current version ) Applicability: Unspecified (?) Added in: 1.61.0 Related Issues View Source almost_complete_range ¶ 📋 suspicious warn What it does Checks for ranges which almost include the entire range of letters from ‘a’ to ‘z’ or digits from ‘0’ to ‘9’, but don’t because they’re a half open range. Why is this bad? This ( 'a'..'z' ) is almost certainly a typo meant to include all letters. Example let _ = 'a'..'z'; Use instead: let _ = 'a'..='z'; Past names almost_complete_letter_range Configuration msrv : The minimum rust version that the project supports. Defaults to the rust-version field in Cargo.toml (default: current version ) Applicability: MaybeIncorrect (?) Added in: 1.68.0 Related Issues View Source almost_swapped ¶ 📋 correctness deny What it does Checks for foo = bar; bar = foo sequences. Why is this bad? This looks like a failed attempt to swap. Example a = b; b = a; If swapping is intended, use swap() instead: std::mem::swap(&mut a, &mut b); Applicability: MaybeIncorrect (?) Added in: pre 1.29.0 Related Issues View Source approx_constant ¶ 📋 correctness deny What it does Checks for floating point literals that approximate constants which are defined in std::f32::consts or std::f64::consts , respectively, suggesting to use the predefined constant. Why is this bad? Usually, the definition in the standard library is more precise than what people come up with. If you find that your definition is actually more precise, please file a Rust issue . Example let x = 3.14; let y = 1_f64 / x; Use instead: let x = std::f32::consts::PI; let y = std::f64::consts::FRAC_1_PI; Configuration msrv : The minimum rust version that the project supports. Defaults to the rust-version field in Cargo.toml (default: current version ) Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source arbitrary_source_item_ordering ¶ 📋 restriction allow What it does Confirms that items are sorted in source files as per configuration. Why restrict this? Keeping a consistent ordering throughout the codebase helps with working as a team, and possibly improves maintainability of the codebase. The idea is that by defining a consistent and enforceable rule for how source files are structured, less time will be wasted during reviews on a topic that is (under most circumstances) not relevant to the logic implemented in the code. Sometimes this will be referred to as “bikeshedding”. The content of items with a representation clause attribute, such as #[repr(C)] will not be checked, as the order of their fields or variants might be dictated by an external API (application binary interface). Default Ordering and Configuration As there is no generally applicable rule, and each project may have different requirements, the lint can be configured with high granularity. The configuration is split into two stages: Which item kinds that should have an internal order enforced. Individual ordering rules per item kind. The item kinds that can be linted are: Module (with customized groupings, alphabetical within - configurable) Trait (with customized order of associated items, alphabetical within) Enum, Impl, Struct (purely alphabetical) Module Item Order Due to the large variation of items within modules, the ordering can be configured on a very granular level. Item kinds can be grouped together arbitrarily, items within groups will be ordered alphabetically. The following table shows the default groupings: Group Item Kinds modules “mod”, “foreign_mod” use “use” macros “macro” global_asm “global_asm” UPPER_SNAKE_CASE “static”, “const” PascalCase “ty_alias”, “opaque_ty”, “enum”, “struct”, “union”, “trait”, “trait_alias”, “impl” lower_snake_case “fn” The groups’ names are arbitrary and can be changed to suit the conventions that should be enforced for a specific project. All item kinds must be accounted for to create an enforceable linting rule set. Following are some example configurations that may be useful. Example: module inclusions and use statements to be at the top module-item-order-groupings = [ [ "modules", [ "extern_crate", "mod", "foreign_mod" ], ], [ "use", [ "use", ], ], [ "everything_else", [ "macro", "global_asm", "static", "const", "ty_alias", "enum", "struct", "union", "trait", "trait_alias", "impl", "fn", ], ], ] Example: only consts and statics should be alphabetically ordered It is also possible to configure a selection of module item groups that should be ordered alphabetically. This may be useful if for example statics and consts should be ordered, but the rest should be left open. module-items-ordered-within-groupings = ["UPPER_SNAKE_CASE"] Known Problems Performance Impact Keep in mind, that ordering source code alphabetically can lead to reduced performance in cases where the most commonly used enum variant isn’t the first entry anymore, and similar optimizations that can reduce branch misses, cache locality and such. Either don’t use this lint if that’s relevant, or disable the lint in modules or items specifically where it matters. Other solutions can be to use profile guided optimization (PGO), post-link optimization (e.g. using BOLT for LLVM), or other advanced optimization methods. A good starting point to dig into optimization is cargo-pgo . Lints on a Contains basis The lint can be disabled only on a “contains” basis, but not per element within a “container”, e.g. the lint works per-module, per-struct, per-enum, etc. but not for “don’t order this particular enum variant”. Module documentation Module level rustdoc comments are not part of the resulting syntax tree and as such cannot be linted from within check_mod . Instead, the rustdoc::missing_documentation lint may be used. Module Tests This lint does not implement detection of module tests (or other feature dependent elements for that matter). To lint the location of mod tests, the lint items_after_test_module can be used instead. Example trait TraitUnordered { const A: bool; const C: bool; const B: bool; type SomeType; fn a(); fn c(); fn b(); } Use instead: trait TraitOrdered { const A: bool; const B: bool; const C: bool; type SomeType; fn a(); fn b(); fn c(); } Configuration module-item-order-groupings : The named groupings of different source item kinds within modules. (default: [["modules", ["extern_crate", "mod", "foreign_mod"]], ["use", ["use"]], ["macros", ["macro"]], ["global_asm", ["global_asm"]], ["UPPER_SNAKE_CASE", ["static", "const"]], ["PascalCase", ["ty_alias", "enum", "struct", "union", "trait", "trait_alias", "impl"]], ["lower_snake_case", ["fn"]]] ) module-items-ordered-within-groupings : Whether the items within module groups should be ordered alphabetically or not. This option can be configured to “all”, “none”, or a list of specific grouping names that should be checked (e.g. only “enums”). (default: "none" ) source-item-ordering : Which kind of elements should be ordered internally, possible values being enum , impl , module , struct , trait . (default: ["enum", "impl", "module", "struct", "trait"] ) trait-assoc-item-kinds-order : The order of associated items in traits. (default: ["const", "type", "fn"] ) Applicability: Unspecified (?) Added in: 1.84.0 Related Issues View Source arc_with_non_send_sync ¶ 📋 suspicious warn What it does. This lint warns when you use Arc with a type that does not implement Send or Sync . Why is this bad? Arc<T> is a thread-safe Rc<T> and guarantees that updates to the reference counter use atomic operations. To send an Arc<T> across thread boundaries and share ownership between multiple threads, T must be both Send and Sync , so either T should be made Send + Sync or an Rc should be used instead of an Arc . Example fn main() { // This is fine, as `i32` implements `Send` and `Sync`. let a = Arc::new(42); // `RefCell` is `!Sync`, so either the `Arc` should be replaced with an `Rc` // or the `RefCell` replaced with something like a `RwLock` let b = Arc::new(RefCell::new(42)); } Applicability: Unspecified (?) Added in: 1.72.0 Related Issues View Source arithmetic_side_effects ¶ 📋 restriction allow What it does Checks any kind of arithmetic operation of any type. Operators like + , - , * or << are usually capable of overflowing according to the Rust Reference , or can panic ( / , % ). Known safe built-in types like Wrapping or Saturating , floats, operations in constant environments, allowed types and non-constant operations that won’t overflow are ignored. Why restrict this? For integers, overflow will trigger a panic in debug builds or wrap the result in release mode; division by zero will cause a panic in either mode. As a result, it is desirable to explicitly call checked, wrapping or saturating arithmetic methods. Example // `n` can be any number, including `i32::MAX`. fn foo(n: i32) -> i32 { n + 1 } Third-party types can also overflow or present unwanted side-effects. Example use rust_decimal::Decimal; let _n = Decimal::MAX + Decimal::MAX; Past names integer_arithmetic Configuration arithmetic-side-effects-allowed : Suppress checking of the passed type names in all types of operations. If a specific operation is desired, consider using arithmetic_side_effects_allowed_binary or arithmetic_side_effects_allowed_unary instead. Example arithmetic-side-effects-allowed = ["SomeType", "AnotherType"] Noteworthy A type, say SomeType , listed in this configuration has the same behavior of ["SomeType" , "*"], ["*", "SomeType"] in arithmetic_side_effects_allowed_binary . (default: [] ) arithmetic-side-effects-allowed-binary : Suppress checking of the passed type pair names in binary operations like addition or multiplication. Supports the “*” wildcard to indicate that a certain type won’t trigger the lint regardless of the involved counterpart. For example, ["SomeType", "*"] or ["*", "AnotherType"] . Pairs are asymmetric, which means that ["SomeType", "AnotherType"] is not the same as ["AnotherType", "SomeType"] . Example arithmetic-side-effects-allowed-binary = [["SomeType" , "f32"], ["AnotherType", "*"]] (default: [] ) arithmetic-side-effects-allowed-unary : Suppress checking of the passed type names in unary operations like “negation” ( - ). Example arithmetic-side-effects-allowed-unary = ["SomeType", "AnotherType"] (default: [] ) Applicability: Unspecified (?) Added in: 1.64.0 Related Issues View Source as_conversions ¶ 📋 restriction allow What it does Checks for usage of as conversions. Note that this lint is specialized in linting every single use of as regardless of whether good alternatives exist or not. If you want more precise lints for as , please consider using these separate lints: clippy::cast_lossless clippy::cast_possible_truncation clippy::cast_possible_wrap clippy::cast_precision_loss clippy::cast_sign_loss clippy::char_lit_as_u8 clippy::fn_to_numeric_cast clippy::fn_to_numeric_cast_with_truncation clippy::ptr_as_ptr clippy::unnecessary_cast invalid_reference_casting There is a good explanation the reason why this lint should work in this way and how it is useful in this issue . Why restrict this? as conversions will perform many kinds of conversions, including silently lossy conversions and dangerous coercions. There are cases when it makes sense to use as , so the lint is Allow by default. Example let a: u32; ... f(a as u16); Use instead: f(a.try_into()?); // or f(a.try_into().expect("Unexpected u16 overflow in f")); Applicability: Unspecified (?) Added in: 1.41.0 Related Issues View Source as_pointer_underscore ¶ 📋 restriction allow What it does Checks for the usage of as *const _ or as *mut _ conversion using inferred type. Why restrict this? The conversion might include a dangerous cast that might go undetected due to the type being inferred. Example fn as_usize<T>(t: &T) -> usize { // BUG: `t` is already a reference, so we will here // return a dangling pointer to a temporary value instead &t as *const _ as usize } Use instead: fn as_usize<T>(t: &T) -> usize { t as *const T as usize } Applicability: MachineApplicable (?) Added in: 1.85.0 Related Issues View Source as_ptr_cast_mut ¶ 📋 nursery allow What it does Checks for the result of a &self -taking as_ptr being cast to a mutable pointer. Why is this bad? Since as_ptr takes a &self , the pointer won’t have write permissions unless interior mutability is used, making it unlikely that having it as a mutable pointer is correct. Example let mut vec = Vec::<u8>::with_capacity(1); let ptr = vec.as_ptr() as *mut u8; unsafe { ptr.write(4) }; // UNDEFINED BEHAVIOUR Use instead: let mut vec = Vec::<u8>::with_capacity(1); let ptr = vec.as_mut_ptr(); unsafe { ptr.write(4) }; Applicability: MaybeIncorrect (?) Added in: 1.66.0 Related Issues View Source as_underscore ¶ 📋 restriction allow What it does Checks for the usage of as _ conversion using inferred type. Why restrict this? The conversion might include lossy conversion or a dangerous cast that might go undetected due to the type being inferred. The lint is allowed by default as using _ is less wordy than always specifying the type. Example fn foo(n: usize) {} let n: u16 = 256; foo(n as _); Use instead: fn foo(n: usize) {} let n: u16 = 256; foo(n as usize); Applicability: MachineApplicable (?) Added in: 1.63.0 Related Issues View Source assertions_on_constants ¶ 📋 style warn What it does Checks for assert!(true) and assert!(false) calls. Why is this bad? Will be optimized out by the compiler or should probably be replaced by a panic!() or unreachable!() Example assert!(false) assert!(true) const B: bool = false; assert!(B) Applicability: Unspecified (?) Added in: 1.34.0 Related Issues View Source assertions_on_result_states ¶ 📋 restriction allow What it does Checks for assert!(r.is_ok()) or assert!(r.is_err()) calls. Why restrict this? This form of assertion does not show any of the information present in the Result other than which variant it isn’t. Known problems The suggested replacement decreases the readability of code and log output. Example assert!(r.is_ok()); assert!(r.is_err()); Use instead: r.unwrap(); r.unwrap_err(); Applicability: MachineApplicable (?) Added in: 1.64.0 Related Issues View Source assign_op_pattern ¶ 📋 style warn What it does Checks for a = a op b or a = b commutative_op a patterns. Why is this bad? These can be written as the shorter a op= b . Known problems While forbidden by the spec, OpAssign traits may have implementations that differ from the regular Op impl. Example let mut a = 5; let b = 0; // ... a = a + b; Use instead: let mut a = 5; let b = 0; // ... a += b; Applicability: MachineApplicable (?) Added in: pre 1.29.0 Related Issues View Source assign_ops ¶ 📋 deprecated none What it does Nothing. This lint has been deprecated Deprecation reason Compound operators are harmless and linting on them is not in scope for clippy. Applicability: Unspecified (?) Deprecated in: 1.30.0 Related Issues assigning_clones ¶ 📋 pedantic allow What it does Checks for code like foo = bar.clone(); Why is this bad? Custom Clone::clone_from() or ToOwned::clone_into implementations allow the objects to share resources and therefore avoid allocations. Example struct Thing; impl Clone for Thing { fn clone(&self) -> Self { todo!() } fn clone_from(&mut self, other: &Self) { todo!() } } pub fn assign_to_ref(a: &mut Thing, b: Thing) { *a = b.clone(); } Use instead: struct Thing; impl Clone for Thing { fn clone(&self) -> Self { todo!() } fn clone_from(&mut self, other: &Self) { todo!() } } pub fn assign_to_ref(a: &mut Thing, b: Thing) { a.clone_from(&b); } Configuration msrv : The minimum rust version that the project supports. Defaults to the rust-version field in Cargo.toml (default: current version ) Applicability: Unspecified (?) Added in: 1.78.0 Related Issues View Source async_yields_async ¶ 📋 correctness deny What it does Checks for async blocks that yield values of types that can themselves be awaited. Why is this bad? An await is likely missing. Example async fn foo() {} fn bar() { let x = async { foo() }; } Use instead: async fn foo() {} fn bar() { let x = async { foo().await }; } Applicability: MaybeIncorrect (?) Added in: 1.48.0 Related Issues View Source await_holding_invalid_type ¶ 📋 suspicious warn What it does Allows users to configure types which should not be held across await suspension points. Why is this bad? There are some types which are perfectly safe to use concurrently from a memory access perspective, but that will cause bugs at runtime if they are held in such a way. Example await-holding-invalid-types = [ # You can specify a type name "CustomLockType", # You can (optionally) specify a reason { path = "OtherCustomLockType", reason = "Relies on a thread local" } ] struct CustomLockType; struct OtherCustomLockType; async fn foo() { let _x = CustomLockType; let _y = OtherCustomLockType; baz().await; // Lint violation } Configuration await-holding-invalid-types : The list of types which may not be held across an await point. (default: [] ) Applicability: Unspecified (?) Added in: 1.62.0 Related Issues View Source await_holding_lock ¶ 📋 suspicious warn What it does Checks for calls to await while holding a non-async-aware MutexGuard . Why is this bad? The Mutex types found in std::sync and parking_lot are not designed to operate in an async context across await points. There are two potential solutions. One is to use an async-aware Mutex type. Many asynchronous foundation crates provide such a Mutex type. The other solution is to ensure the mutex is unlocked before calling await , either by introducing a scope or an explicit call to Drop::drop . Known problems Will report false positive for explicitly dropped guards ( #6446 ). A workaround for this is to wrap the .lock() call in a block instead of explicitly dropping the guard. Example async fn foo(x: &Mutex<u32>) { let mut guard = x.lock().unwrap(); *guard += 1; baz().await; } async fn bar(x: &Mutex<u32>) { let mut guard = x.lock().unwrap(); *guard += 1; drop(guard); // explicit drop baz().await; } Use instead: async fn foo(x: &Mutex<u32>) { { let mut guard = x.lock().unwrap(); *guard += 1; } baz().await; } async fn bar(x: &Mutex<u32>) { { let mut guard = x.lock().unwrap(); *guard += 1; } // guard dropped here at end of scope baz().await; } Applicability: Unspecified (?) Added in: 1.45.0 Related Issues View Source await_holding_refcell_ref ¶ 📋 suspicious warn What it does Checks for calls to await while holding a RefCell , Ref , or RefMut . Why is this bad? RefCell refs only check for exclusive mutable access at runtime. Holding a RefCell ref across an await suspension point risks panics from a mutable ref shared while other refs are outstanding. Known problems Will report false positive for explicitly dropped refs ( #6353 ). A workaround for this is to wrap the .borrow[_mut]() call in a block instead of explicitly dropping the ref. Example async fn foo(x: &RefCell<u32>) { let mut y = x.borrow_mut(); *y += 1; baz().await; } async fn bar(x: &RefCell<u32>) { let mut y = x.borrow_mut(); *y += 1; drop(y); // explicit drop baz().await; } Use instead: async fn foo(x: &RefCell<u32>) { { let mut y = x.borrow_mut(); *y += 1; } baz().await; } async fn bar(x: &RefCell<u32>) { { let mut y = x.borrow_mut(); *y += 1; } // y dropped here at end of scope baz().await; } Applicability: Unspecified (?) Added in: 1.49.0 Related Issues View Source bad_bit_mask ¶ 📋 correctness deny What it does Checks for incompatible bit masks in comparisons. The formula for detecting if an expression of the type _ <bit_op> m <cmp_op> c (where <bit_op> is one of { & , | } and <cmp_op> is one of { != , >= , > , != , >= , > }) can be determined from the following table: Comparison Bit Op Example is always Formula == or != & x & 2 == 3 false c & m != c < or >= & x & 2 < 3 true m < c > or <= & x & 1 > 1 false m <= c == or != | x | 1 == 0 false c | m != c < or >= | x | 1 < 1 false m >= c <= or > | x | 1 > 0 true m > c Why is this bad? If the bits that the comparison cares about are always set to zero or one by the bit mask, the comparison is constant true or false (depending on mask, compared value, and operators). So the code is actively misleading, and the only reason someone would write this intentionally is to win an underhanded Rust contest or create a test-case for this lint. Example if (x & 1 == 2) { } Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source big_endian_bytes ¶ 📋 restriction allow What it does Checks for the usage of the to_be_bytes method and/or the function from_be_bytes . Why restrict this? To ensure use of little-endian or the target’s endianness rather than big-endian. Example let _x = 2i32.to_be_bytes(); let _y = 2i64.to_be_bytes(); Applicability: Unspecified (?) Added in: 1.72.0 Related Issues View Source bind_instead_of_map ¶ 📋 complexity warn What it does Checks for usage of _.and_then(|x| Some(y)) , _.and_then(|x| Ok(y)) or _.or_else(|x| Err(y)) . Why is this bad? This can be written more concisely as _.map(|x| y) or _.map_err(|x| y) . Example let _ = opt().and_then(|s| Some(s.len())); let _ = res().and_then(|s| if s.len() == 42 { Ok(10) } else { Ok(20) }); let _ = res().or_else(|s| if s.len() == 42 { Err(10) } else { Err(20) }); The correct use would be: let _ = opt().map(|s| s.len()); let _ = res().map(|s| if s.len() == 42 { 10 } else { 20 }); let _ = res().map_err(|s| if s.len() == 42 { 10 } else { 20 }); Past names option_and_then_some Applicability: MachineApplicable (?) Added in: 1.45.0 Related Issues View Source blanket_clippy_restriction_lints ¶ 📋 suspicious warn What it does Checks for warn / deny / forbid attributes targeting the whole clippy::restriction category. Why is this bad? Restriction lints sometimes are in contrast with other lints or even go against idiomatic rust. These lints should only be enabled on a lint-by-lint basis and with careful consideration. Example #![deny(clippy::restriction)] Use instead: #![deny(clippy::as_conversions)] Applicability: Unspecified (?) Added in: 1.47.0 Related Issues View Source blocks_in_conditions ¶ 📋 style warn What it does Checks for if and match conditions that use blocks containing an expression, statements or conditions that use closures with blocks. Why is this bad? Style, using blocks in the condition makes it hard to read. Examples if { true } { /* ... */ } if { let x = somefunc(); x } { /* ... */ } match { let e = somefunc(); e } { // ... } Use instead: if true { /* ... */ } let res = { let x = somefunc(); x }; if res { /* ... */ } let res = { let e = somefunc(); e }; match res { // ... } Past names block_in_if_condition_expr block_in_if_condition_stmt blocks_in_if_conditions Applicability: MachineApplicable (?) Added in: 1.45.0 Related Issues View Source bool_assert_comparison ¶ 📋 style warn What it does This lint warns about boolean comparisons in assert-like macros. Why is this bad? It is shorter to use the equivalent. Example assert_eq!("a".is_empty(), false); assert_ne!("a".is_empty(), true); Use instead: assert!(!"a".is_empty()); Applicability: MachineApplicable (?) Added in: 1.53.0 Related Issues View Source bool_comparison ¶ 📋 complexity warn What it does Checks for expressions of the form x == true , x != true and order comparisons such as x < true (or vice versa) and suggest using the variable directly. Why is this bad? Unnecessary code. Example if x == true {} if y == false {} use x directly: if x {} if !y {} Applicability: MachineApplicable (?) Added in: pre 1.29.0 Related Issues View Source bool_to_int_with_if ¶ 📋 pedantic allow What it does Instead of using an if statement to convert a bool to an int, this lint suggests using a from() function or an as coercion. Why is this bad? Coercion or from() is another way to convert bool to a number. Both methods are guaranteed to return 1 for true, and 0 for false. See https://doc.rust-lang.org/std/primitive.bool.html#impl-From%3Cbool%3E Example if condition { 1_i64 } else { 0 }; Use instead: i64::from(condition); or condition as i64; Applicability: MachineApplicable (?) Added in: 1.65.0 Related Issues View Source borrow_as_ptr ¶ 📋 pedantic allow What it does Checks for the usage of &expr as *const T or &mut expr as *mut T , and suggest using &raw const or &raw mut instead. Why is this bad? This would improve readability and avoid creating a reference that points to an uninitialized value or unaligned place. Read the &raw explanation in the Reference for more information. Example let val = 1; let p = &val as *const i32; let mut val_mut = 1; let p_mut = &mut val_mut as *mut i32; Use instead: let val = 1; let p = &raw const val; let mut val_mut = 1; let p_mut = &raw mut val_mut; Configuration msrv : The minimum rust version that the project supports. Defaults to the rust-version field in Cargo.toml (default: current version ) Applicability: MachineApplicable (?) Added in: 1.60.0 Related Issues View Source borrow_deref_ref ¶ 📋 complexity warn What it does Checks for &*(&T) . Why is this bad? Dereferencing and then borrowing a reference value has no effect in most cases. Known problems False negative on such code: let x = &12; let addr_x = &x as *const _ as usize; let addr_y = &&*x as *const _ as usize; // assert ok now, and lint triggered. // But if we fix it, assert will fail. assert_ne!(addr_x, addr_y); Example let s = &String::new(); let a: &String = &* s; Use instead: let a: &String = s; Applicability: MachineApplicable (?) Added in: 1.63.0 Related Issues View Source borrow_interior_mutable_const ¶ 📋 style warn What it does Checks for a borrow of a named constant with interior mutability. Why is this bad? Named constants are copied at every use site which means any change to their value will be lost after the newly created value is dropped. e.g. use core::sync::atomic::{AtomicUsize, Ordering}; const ATOMIC: AtomicUsize = AtomicUsize::new(0); fn add_one() -> usize { // This will always return `0` since `ATOMIC` is copied before it's borrowed // for use by `fetch_add`. ATOMIC.fetch_add(1, Ordering::AcqRel) } Known problems This lint does not, and cannot in general, determine if the borrow of the constant is used in a way which causes a mutation. e.g. use core::cell::Cell; const CELL: Cell<usize> = Cell::new(0); fn get_cell() -> Cell<usize> { // This is fine. It borrows a copy of `CELL`, but never mutates it through the // borrow. CELL.clone() } There also exists types which contain private fields with interior mutability, but no way to both create a value as a constant and modify any mutable field using the type’s public interface (e.g. bytes::Bytes ). As there is no reasonable way to scan a crate’s interface to see if this is the case, all such types will be linted. If this happens use the ignore-interior-mutability configuration option to allow the type. Example use std::sync::atomic::{AtomicUsize, Ordering::SeqCst}; const CONST_ATOM: AtomicUsize = AtomicUsize::new(12); CONST_ATOM.store(6, SeqCst); // the content of the atomic is unchanged assert_eq!(CONST_ATOM.load(SeqCst), 12); // because the CONST_ATOM in these lines are distinct Use instead: use std::sync::atomic::{AtomicUsize, Ordering::SeqCst}; const CONST_ATOM: AtomicUsize = AtomicUsize::new(12); static STATIC_ATOM: AtomicUsize = CONST_ATOM; STATIC_ATOM.store(9, SeqCst); assert_eq!(STATIC_ATOM.load(SeqCst), 9); // use a `static` item to refer to the same instance Configuration ignore-interior-mutability : A list of paths to types that should be treated as if they do not contain interior mutability (default: ["bytes::Bytes"] ) Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source borrowed_box ¶ 📋 complexity warn What it does Checks for usage of &Box<T> anywhere in the code. Check the Box documentation for more information. Why is this bad? A &Box<T> parameter requires the function caller to box T first before passing it to a function. Using &T defines a concrete type for the parameter and generalizes the function, this would also auto-deref to &T at the function call site if passed a &Box<T> . Example fn foo(bar: &Box<T>) { ... } Better: fn foo(bar: &T) { ... } Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source box_collection ¶ 📋 perf warn What it does Checks for usage of Box<T> where T is a collection such as Vec anywhere in the code. Check the Box documentation for more information. Why is this bad? Collections already keeps their contents in a separate area on the heap. So if you Box them, you just add another level of indirection without any benefit whatsoever. Example struct X { values: Box<Vec<Foo>>, } Better: struct X { values: Vec<Foo>, } Past names box_vec Configuration avoid-breaking-exported-api : Suppress lints whenever the suggested change would cause breakage for other crates. (default: true ) Applicability: Unspecified (?) Added in: 1.57.0 Related Issues View Source box_default ¶ 📋 style warn What it does checks for Box::new(Default::default()) , which can be written as Box::default() . Why is this bad? Box::default() is equivalent and more concise. Example let x: Box<String> = Box::new(Default::default()); Use instead: let x: Box<String> = Box::default(); Applicability: MachineApplicable (?) Added in: 1.66.0 Related Issues View Source boxed_local ¶ 📋 perf warn What it does Checks for usage of Box<T> where an unboxed T would work fine. Why is this bad? This is an unnecessary allocation, and bad for performance. It is only necessary to allocate if you wish to move the box into something. Example fn foo(x: Box<u32>) {} Use instead: fn foo(x: u32) {} Configuration too-large-for-stack : The maximum size of objects (in bytes) that will be linted. Larger objects are ok on the heap (default: 200 ) Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source branches_sharing_code ¶ 📋 nursery allow What it does Checks if the if and else block contain shared code that can be moved out of the blocks. Why is this bad? Duplicate code is less maintainable. Example let foo = if … { println!("Hello World"); 13 } else { println!("Hello World"); 42 }; Use instead: println!("Hello World"); let foo = if … { 13 } else { 42 }; Applicability: Unspecified (?) Added in: 1.53.0 Related Issues View Source builtin_type_shadow ¶ 📋 style warn What it does Warns if a generic shadows a built-in type. Why is this bad? This gives surprising type errors. Example impl<u32> Foo<u32> { fn impl_func(&self) -> u32 { 42 } } Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source byte_char_slices ¶ 📋 style warn What it does Checks for hard to read slices of byte characters, that could be more easily expressed as a byte string. Why is this bad? Potentially makes the string harder to read. Example &[b'H', b'e', b'l', b'l', b'o']; Use instead: b"Hello" Applicability: MachineApplicable (?) Added in: 1.81.0 Related Issues View Source bytes_count_to_len ¶ 📋 complexity warn What it does It checks for str::bytes().count() and suggests replacing it with str::len() . Why is this bad? str::bytes().count() is longer and may not be as performant as using str::len() . Example "hello".bytes().count(); String::from("hello").bytes().count(); Use instead: "hello".len(); String::from("hello").len(); Applicability: MachineApplicable (?) Added in: 1.62.0 Related Issues View Source bytes_nth ¶ 📋 style warn What it does Checks for the use of .bytes().nth() . Why is this bad? .as_bytes().get() is more efficient and more readable. Example "Hello".bytes().nth(3); Use instead: "Hello".as_bytes().get(3); Applicability: MachineApplicable (?) Added in: 1.52.0 Related Issues View Source cargo_common_metadata ¶ 📋 cargo allow What it does Checks to see if all common metadata is defined in Cargo.toml . See: https://rust-lang-nursery.github.io/api-guidelines/documentation.html#cargotoml-includes-all-common-metadata-c-metadata Why is this bad? It will be more difficult for users to discover the purpose of the crate, and key information related to it. Example [package] name = "clippy" version = "0.0.212" repository = "https://github.com/rust-lang/rust-clippy" readme = "README.md" license = "MIT OR Apache-2.0" keywords = ["clippy", "lint", "plugin"] categories = ["development-tools", "development-tools::cargo-plugins"] Should include a description field like: [package] name = "clippy" version = "0.0.212" description = "A bunch of helpful lints to avoid common pitfalls in Rust" repository = "https://github.com/rust-lang/rust-clippy" readme = "README.md" license = "MIT OR Apache-2.0" keywords = ["clippy", "lint", "plugin"] categories = ["development-tools", "development-tools::cargo-plugins"] Configuration cargo-ignore-publish : For internal testing only, ignores the current publish settings in the Cargo manifest. (default: false ) Applicability: Unspecified (?) Added in: 1.32.0 Related Issues View Source case_sensitive_file_extension_comparisons ¶ 📋 pedantic allow What it does Checks for calls to ends_with with possible file extensions and suggests to use a case-insensitive approach instead. Why is this bad? ends_with is case-sensitive and may not detect files with a valid extension. Example fn is_rust_file(filename: &str) -> bool { filename.ends_with(".rs") } Use instead: fn is_rust_file(filename: &str) -> bool { let filename = std::path::Path::new(filename); filename.extension() .map_or(false, |ext| ext.eq_ignore_ascii_case("rs")) } Applicability: MaybeIncorrect (?) Added in: 1.51.0 Related Issues View Source cast_abs_to_unsigned ¶ 📋 suspicious warn What it does Checks for usage of the abs() method that cast the result to unsigned. Why is this bad? The unsigned_abs() method avoids panic when called on the MIN value. Example let x: i32 = -42; let y: u32 = x.abs() as u32; Use instead: let x: i32 = -42; let y: u32 = x.unsigned_abs(); Configuration msrv : The minimum rust version that the project supports. Defaults to the rust-version field in Cargo.toml (default: current version ) Applicability: MachineApplicable (?) Added in: 1.62.0 Related Issues View Source cast_enum_constructor ¶ 📋 suspicious warn What it does Checks for casts from an enum tuple constructor to an integer. Why is this bad? The cast is easily confused with casting a c-like enum value to an integer. Example enum E { X(i32) }; let _ = E::X as usize; Applicability: Unspecified (?) Added in: 1.61.0 Related Issues View Source cast_enum_truncation ¶ 📋 suspicious warn What it does Checks for casts from an enum type to an integral type that will definitely truncate the value. Why is this bad? The resulting integral value will not match the value of the variant it came from. Example enum E { X = 256 }; let _ = E::X as u8; Applicability: Unspecified (?) Added in: 1.61.0 Related Issues View Source cast_lossless ¶ 📋 pedantic allow What it does Checks for casts between numeric types that can be replaced by safe conversion functions. Why is this bad? Rust’s as keyword will perform many kinds of conversions, including silently lossy conversions. Conversion functions such as i32::from will only perform lossless conversions. Using the conversion functions prevents conversions from becoming silently lossy if the input types ever change, and makes it clear for people reading the code that the conversion is lossless. Example fn as_u64(x: u8) -> u64 { x as u64 } Using ::from would look like this: fn as_u64(x: u8) -> u64 { u64::from(x) } Applicability: MachineApplicable (?) Added in: pre 1.29.0 Related Issues View Source cast_nan_to_int ¶ 📋 suspicious warn What it does Checks for a known NaN float being cast to an integer Why is this bad? NaNs are cast into zero, so one could simply use this and make the code more readable. The lint could also hint at a programmer error. Example let _ = (0.0_f32 / 0.0) as u64; Use instead: let _ = 0_u64; Applicability: Unspecified (?) Added in: 1.66.0 Related Issues View Source cast_possible_truncation ¶ 📋 pedantic allow What it does Checks for casts between numeric types that may truncate large values. This is expected behavior, so the cast is Allow by default. It suggests user either explicitly ignore the lint, or use try_from() and handle the truncation, default, or panic explicitly. Why is this bad? In some problem domains, it is good practice to avoid truncation. This lint can be activated to help assess where additional checks could be beneficial. Example fn as_u8(x: u64) -> u8 { x as u8 } Use instead: fn as_u8(x: u64) -> u8 { if let Ok(x) = u8::try_from(x) { x } else { todo!(); } } // Or #[allow(clippy::cast_possible_truncation)] fn as_u16(x: u64) -> u16 { x as u16 } Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source cast_possible_wrap ¶ 📋 pedantic allow What it does Checks for casts from an unsigned type to a signed type of the same size, or possibly smaller due to target-dependent integers. Performing such a cast is a no-op for the compiler (that is, nothing is changed at the bit level), and the binary representation of the value is reinterpreted. This can cause wrapping if the value is too big for the target signed type. However, the cast works as defined, so this lint is Allow by default. Why is this bad? While such a cast is not bad in itself, the results can be surprising when this is not the intended behavior: Example let _ = u32::MAX as i32; // will yield a value of `-1` Use instead: let _ = i32::try_from(u32::MAX).ok(); Applicability: MaybeIncorrect (?) Added in: pre 1.29.0 Related Issues View Source cast_precision_loss ¶ 📋 pedantic allow What it does Checks for casts from any numeric type to a float type where the receiving type cannot store all values from the original type without rounding errors. This possible rounding is to be expected, so this lint is Allow by default. Basically, this warns on casting any integer with 32 or more bits to f32 or any 64-bit integer to f64 . Why is this bad? It’s not bad at all. But in some applications it can be helpful to know where precision loss can take place. This lint can help find those places in the code. Example let x = u64::MAX; x as f64; Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source cast_ptr_alignment ¶ 📋 pedantic allow What it does Checks for casts, using as or pointer::cast , from a less strictly aligned pointer to a more strictly aligned pointer. Why is this bad? Dereferencing the resulting pointer may be undefined behavior. Known problems Using std::ptr::read_unaligned and std::ptr::write_unaligned or similar on the resulting pointer is fine. Is over-zealous: casts with manual alignment checks or casts like u64 -> u8 -> u16 can be fine. Miri is able to do a more in-depth analysis. Example let _ = (&1u8 as *const u8) as *const u16; let _ = (&mut 1u8 as *mut u8) as *mut u16; (&1u8 as *const u8).cast::<u16>(); (&mut 1u8 as *mut u8).cast::<u16>(); Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source cast_sign_loss ¶ 📋 pedantic allow What it does Checks for casts from a signed to an unsigned numeric type. In this case, negative values wrap around to large positive values, which can be quite surprising in practice. However, since the cast works as defined, this lint is Allow by default. Why is this bad? Possibly surprising results. You can activate this lint as a one-time check to see where numeric wrapping can arise. Example let y: i8 = -1; y as u64; // will return 18446744073709551615 Applicability: MaybeIncorrect (?) Added in: pre 1.29.0 Related Issues View Source cast_slice_different_sizes ¶ 📋 correctness deny What it does Checks for as casts between raw pointers to slices with differently sized elements. Why is this bad? The produced raw pointer to a slice does not update its length metadata. The produced pointer will point to a different number of bytes than the original pointer because the length metadata of a raw slice pointer is in elements rather than bytes. Producing a slice reference from the raw pointer will either create a slice with less data (which can be surprising) or create a slice with more data and cause Undefined Behavior. Example // Missing data let a = [1_i32, 2, 3, 4]; let p = &a as *const [i32] as *const [u8]; unsafe { println!("{:?}", &*p); } // Undefined Behavior (note: also potential alignment issues) let a = [1_u8, 2, 3, 4]; let p = &a as *const [u8] as *const [u32]; unsafe { println!("{:?}", &*p); } Instead use ptr::slice_from_raw_parts to construct a slice from a data pointer and the correct length let a = [1_i32, 2, 3, 4]; let old_ptr = &a as *const [i32]; // The data pointer is cast to a pointer to the target `u8` not `[u8]` // The length comes from the known length of 4 i32s times the 4 bytes per i32 let new_ptr = core::ptr::slice_from_raw_parts(old_ptr as *const u8, 16); unsafe { println!("{:?}", &*new_ptr); } Applicability: HasPlaceholders (?) Added in: 1.61.0 Related Issues View Source cast_slice_from_raw_parts ¶ 📋 suspicious warn What it does Checks for a raw slice being cast to a slice pointer Why is this bad? This can result in multiple &mut references to the same location when only a pointer is required. ptr::slice_from_raw_parts is a safe alternative that doesn’t require the same safety requirements to be upheld. Example let _: *const [u8] = std::slice::from_raw_parts(ptr, len) as *const _; let _: *mut [u8] = std::slice::from_raw_parts_mut(ptr, len) as *mut _; Use instead: let _: *const [u8] = std::ptr::slice_from_raw_parts(ptr, len); let _: *mut [u8] = std::ptr::slice_from_raw_parts_mut(ptr, len); Applicability: MachineApplicable (?) Added in: 1.65.0 Related Issues View Source cfg_not_test ¶ 📋 restriction allow What it does Checks for usage of cfg that excludes code from test builds. (i.e., #[cfg(not(test))] ) Why is this bad? This may give the false impression that a codebase has 100% coverage, yet actually has untested code. Enabling this also guards against excessive mockery as well, which is an anti-pattern. Example #[cfg(not(test))] important_check(); // I'm not actually tested, but not including me will falsely increase coverage! Use instead: important_check(); Applicability: Unspecified (?) Added in: 1.81.0 Related Issues View Source char_indices_as_byte_indices ¶ 📋 correctness deny What it does Checks for usage of a character position yielded by .chars().enumerate() in a context where a byte index is expected, such as an argument to a specific str method or indexing into a str or String . Why is this bad? A character (more specifically, a Unicode scalar value) that is yielded by str::chars can take up multiple bytes, so a character position does not necessarily have the same byte index at which the character is stored. Thus, using the character position where a byte index is expected can unexpectedly return wrong values or panic when the string consists of multibyte characters. For example, the character a in äa is stored at byte index 2 but has the character position 1. Using the character position 1 to index into the string will lead to a panic as it is in the middle of the first character. Instead of .chars().enumerate() , the correct iterator to use is .char_indices() , which yields byte indices. This pattern is technically fine if the strings are known to only use the ASCII subset, though in those cases it would be better to use bytes() directly to make the intent clearer, but there is also no downside to just using .char_indices() directly and supporting non-ASCII strings. You may also want to read the chapter on strings in the Rust Book which goes into this in more detail. Example for (idx, c) in s.chars().enumerate() { let _ = s[idx..]; // ⚠️ Panics for strings consisting of multibyte characters } Use instead: for (idx, c) in s.char_indices() { let _ = s[idx..] | 2026-01-13T09:29:17 |
https://scholar.google.com/citations?user=dAVQzhkAAAAJ&hl=ko&oe=ASCII | Jinghuai Zhang - Google 학술 검색 로드 중... 현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요. 연간 인용횟수 중복된 서지정보 다음 학술 문서는 학술검색에서 병합되어 있습니다. 총 인용 횟수가 첫 번째 학술 문서에 대해서만 계산됩니다. 병합된 서지정보 이 '인용' 횟수는 학술검색의 다음 학술 문서에 대한 인용문을 포함합니다. * 표시된 인용문은 프로필에 있는 학술 문서와 다를 수 있습니다. 공동 저자 추가 공동 저자 팔로우 이 저자의 새 학술자료 이 저자를 인용한 새 학술자료 이 저자의 연구와 관련된 새 학술자료 업데이트를 받을 이메일 주소 완료 죄송합니다. 현재 Internet Explorer 버전에서는 일부 기능이 작동하지 않을 수 있습니다. 최적의 상태로 사용하려면 Chrome 또는 Mozilla Firefox 를 사용해 주세요. 내 프로필 내 서재 통계 알리미 설정 로그인 로그인 내 프로필 만들기 인용 전체 2021년 이후 서지정보 883 882 h-index 9 9 i10-index 9 9 0 320 160 80 240 2021 2022 2023 2024 2025 2026 22 92 164 293 303 8 공개 액세스 모두 보기 모두 보기 자료 7개 자료 0개 공개 비공개 재정 지원 요구사항 기준 공동 저자 Neil Zhenqiang Gong Associate Professor, Duke University duke.edu의 이메일 확인됨 Yicheng Liu Tsinghua University mails.tsinghua.edu.cn의 이메일 확인됨 Bolei Zhou Associate Professor at UCLA ucla.edu의 이메일 확인됨 Yuan Tian Associate Professor, University of California, Los Angeles ucla.edu의 이메일 확인됨 KUNLIN CAI University of California, Los Angeles g.ucla.edu의 이메일 확인됨 Jianping Wang Fellow of IEEE, Fellow of AAIA, Chair Professor, City University of Hong Kong cityu.edu.hk의 이메일 확인됨 Kejie Lu University of Puerto Rico at Mayaguez upr.edu의 이메일 확인됨 Yifan ZHANG City University of Hong Kong (Dongguan) cityu-dg.edu.cn의 이메일 확인됨 Jianfeng Chi Research Scientist, MSL at Meta meta.com의 이메일 확인됨 Yang Zhang Faculty at CISPA Helmholtz Center for Information Security cispa.de의 이메일 확인됨 Liao Jing CityU Hong Kong, Associate Professor cityu.edu.hk의 이메일 확인됨 Zixuan Huang PhD in Robotics, University of Michigan umich.edu의 이메일 확인됨 Tianyu Du Zhejiang University zju.edu.cn의 이메일 확인됨 Tao LIN Westlake University | EPFL westlake.edu.cn의 이메일 확인됨 Zhou Li Associate Professor, University of California, Irvine uci.edu의 이메일 확인됨 팔로우 Jinghuai Zhang UCLA , ECE g.ucla.edu의 이메일 확인됨 - 홈페이지 AI Security and Privacy Computer Vision 학술자료 인용 공개 액세스 공동 저자 제목 정렬 서지정보순 정렬 연도순 정렬 제목순 정렬 인용 인용 연도 Multimodal Motion Prediction with Stacked Transformers Y Liu*, J Zhang*, L Fang, Q Jiang, B Zhou IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2021 578 2021 Evading Watermark based Detection of AI-Generated Content Z Jiang*, J Zhang*, NZ Gong ACM Conference on Computer and Communications Security (CCS) , 2023 116 2023 Data Poisoning based Backdoor Attacks to Contrastive Learning J Zhang, H Liu, J Jia, NZ Gong IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2024 39 * 2024 BadMerging: Backdoor Attacks Against Model Merging J Zhang, J Chi, Z Li, K Cai, Y Zhang, Y Tian ACM Conference on Computer and Communications Security (CCS) , 2024 32 2024 A novel learning framework for sampling-based motion planning in autonomous driving Y Zhang*, J Zhang*, J Zhang, J Wang, K Lu, J Hong AAAI Conference on Artificial Intelligence (AAAI, Oral) , 2020 29 2020 Style Mixer: Semantic‐aware Multi‐Style Transfer Network Z Huang*, J Zhang*, J Liao Computer Graphics Forum 38 (7), 469-480 , 2019 29 2019 PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees J Zhang, J Jia, H Liu, NZ Gong IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2023 17 2023 Integrating algorithmic sampling-based motion planning with learning in autonomous driving Y Zhang, J Zhang, J Zhang, J Wang, K Lu, J Hong ACM Transactions on Intelligent Systems and Technology (TIST) , 2022 17 2022 Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation K Cai, J Zhang, W Shand, Z Hong, G Wang, D Zhang, J Chi, Y Tian ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) , 2024 13 2024 Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning Y Jia, M Fang, H Liu, J Zhang, NZ Gong Annual Conference on Neural Information Processing Systems (NeurIPS) , 2025 5 2025 VideoEraser: Concept Erasure in Text-to-Video Diffusion Models N Xu, J Zhang, C Li, Z Chen, C Zhou, Q Li, T Du, S Ji Conference on Empirical Methods in Natural Language Processing (EMNLP) , 2025 4 2025 IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents H An, J Zhang, T Du, C Zhou, Q Li, T Lin, S Ji Conference on Empirical Methods in Natural Language Processing (EMNLP, Oral) , 2025 2 2025 Chimera: Creating Digitally Signed Fake Photos by Fooling Image Recapture and Deepfake Detectors S Park*, A Vilesov*, J Zhang, H Khalili, Y Tian, A Kadambi, ... USENIX Security Symposium , 2025 1 2025 From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection D Sun, J Zhang, J Xu, Y Zheng, Y Tian, Z Li arXiv preprint arXiv:2507.10873 , 2025 1 2025 From Perception to Protection: A Developer-Centered Study of Security and Privacy Threats in Extended Reality (XR) K Cai, J Zhang, Y Li, Z Wang, X Chen, T Li, Y Tian Network and Distributed System Security Symposium (NDSS) , 2026 2026 CollabEdit: Towards Non-destructive Collaborative Knowledge Editing J Zheng, J Zhang, T Du, X Zhang, J Yin, T Lin International Conference on Learning Representations (ICLR) , 2025 2025 현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요. 학술자료 1–16 더보기 개인정보처리방침 약관 도움말 학술검색 정보 검색 도움말 | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/infoblox-core-network-services/?trk=products_details_guest_other_products_by_org_section_product_link_result-card_full-click | Infoblox Core Network Services | LinkedIn Skip to main content LinkedIn Infoblox in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Infoblox Core Network Services Managed DNS Services Software by Infoblox See who's skilled in this Add as skill Learn more Report this product About Automate and consolidate core network services, including DNS, DHCP, and IP Address Management. As your network evolves to support rapidly multiplying applications and devices, your core network services need to scale with minimal management overhead. Similar products Cisco Umbrella Cisco Umbrella Secure Web Gateways Akamai Edge DNS Akamai Edge DNS Managed DNS Services Software Cloudflare DNS Cloudflare DNS Managed DNS Services Software Cloudflare Registrar Cloudflare Registrar Managed DNS Services Software Advanced DNS Protection Advanced DNS Protection Managed DNS Services Software DNSi Big Data Connector DNSi Big Data Connector Managed DNS Services Software Sign in to see more Show more Show less Infoblox products Advanced DNS Protection Advanced DNS Protection Managed DNS Services Software BloxOne® Threat Defense BloxOne® Threat Defense Endpoint Protection Systems LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://huggingface.co/datasets/xiuhuywh/DRIM-ColdstartSFT | xiuhuywh/DRIM-ColdstartSFT · Datasets at Hugging Face Hugging Face Models Datasets Spaces Community Docs Enterprise Pricing Log In Sign Up Datasets: xiuhuywh / DRIM-ColdstartSFT like 84 Modalities: Image Text Size: 10K - 100K ArXiv: arxiv: 2512.17306 License: apache-2.0 Dataset card Data Studio Files Files and versions xet Community XML tags:\n \n{\"type\":\"function\",\"function\":{\"name\":\"image_zoom_in_tool\",\"description\":\"Zoom in on a specific region of an image by cropping it. The new cropped image will be available in the next turn.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"image_idx\":{\"type\":\"integer\",\"description\":\"The 1-based index of the image to perform the zoom-in operation on. The available images are provided and numbered in the user's prompt.\"},\"bbox_2d\":{\"type\":\"string\",\"description\":\"The bounding box of the region to zoom in, as a string ' (x1,y1),(x2,y2) ' in relative coordinates (0.0 to 1.0) for the selected image, where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\"},\"label\":{\"type\":\"string\",\"description\":\"The name or label of the object in the specified bounding box (optional).\"}},\"required\":[\"image_idx\",\"bbox_2d\"]}}}\n \n\n# How to call a tool\nReturn a json object with function name and arguments within XML tags:\n \n{\"name\": , \"arguments\": }\n "},{"from":"human","value":" \nImage 1:\nQuestion: By zooming in on the smaller, two-decker boat docked to the right of the large ferry, what is the full name written in green text on its side?\nchoices:\nA: AGUENE & ZIGUINCHOR\nB: CASAMANCE EXPRESS\nC: AGUENE & DIAMBOGNE\nD: COUMBA CASTEL"},{"from":"gpt","value":" To read the green text on the side of the smaller two-decker boat, I should zoom in on the right side of the image where that vessel is docked. This will allow a clear view of the boat’s name for comparison against the provided options. \n\n{\n \"name\": \"image_zoom_in_tool\",\n \"arguments\": {\n \"image_idx\": 1,\n \"bbox_2d\": \" (0.650,0.450),(0.960,0.750) \",\n \"label\": \"smaller two-decker boat\"\n }\n}\n\n "},{"from":"human","value":" \n \nImage 2 (cropped from Image 1) is provided.\n "},{"from":"gpt","value":" The zoomed-in image shows the name on the green hull as two words: “Casamance Express.” This matches option B. \nCASAMANCE EXPRESS"}],"string":"[\n {\n \"from\": \"system\",\n \"value\": \"You are a helpful assistant.\\n\\n# Context\\nIn each turn, new images might be provided as a result of your tool calls. The images are numbered sequentially starting from 1. You can refer to any image that has appeared so far in the conversation using its `image_idx`.\\n\\n# Tools\\nYou may call one or more functions to assist with the user query.\\nYou are provided with function signatures within XML tags:\\n \\n{\\\"type\\\":\\\"function\\\",\\\"function\\\":{\\\"name\\\":\\\"image_zoom_in_tool\\\",\\\"description\\\":\\\"Zoom in on a specific region of an image by cropping it. The new cropped image will be available in the next turn.\\\",\\\"parameters\\\":{\\\"type\\\":\\\"object\\\",\\\"properties\\\":{\\\"image_idx\\\":{\\\"type\\\":\\\"integer\\\",\\\"description\\\":\\\"The 1-based index of the image to perform the zoom-in operation on. The available images are provided and numbered in the user's prompt.\\\"},\\\"bbox_2d\\\":{\\\"type\\\":\\\"string\\\",\\\"description\\\":\\\"The bounding box of the region to zoom in, as a string ' (x1,y1),(x2,y2) ' in relative coordinates (0.0 to 1.0) for the selected image, where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\\\"},\\\"label\\\":{\\\"type\\\":\\\"string\\\",\\\"description\\\":\\\"The name or label of the object in the specified bounding box (optional).\\\"}},\\\"required\\\":[\\\"image_idx\\\",\\\"bbox_2d\\\"]}}}\\n \\n\\n# How to call a tool\\nReturn a json object with function name and arguments within XML tags:\\n \\n{\\\"name\\\": , \\\"arguments\\\": }\\n \"\n },\n {\n \"from\": \"human\",\n \"value\": \" \\nImage 1:\\nQuestion: By zooming in on the smaller, two-decker boat docked to the right of the large ferry, what is the full name written in green text on its side?\\nchoices:\\nA: AGUENE & ZIGUINCHOR\\nB: CASAMANCE EXPRESS\\nC: AGUENE & DIAMBOGNE\\nD: COUMBA CASTEL\"\n },\n {\n \"from\": \"gpt\",\n \"value\": \" To read the green text on the side of the smaller two-decker boat, I should zoom in on the right side of the image where that vessel is docked. This will allow a clear view of the boat’s name for comparison against the provided options. \\n\\n{\\n \\\"name\\\": \\\"image_zoom_in_tool\\\",\\n \\\"arguments\\\": {\\n \\\"image_idx\\\": 1,\\n \\\"bbox_2d\\\": \\\" (0.650,0.450),(0.960,0.750) \\\",\\n \\\"label\\\": \\\"smaller two-decker boat\\\"\\n }\\n}\\n\\n \"\n },\n {\n \"from\": \"human\",\n \"value\": \" \\n \\nImage 2 (cropped from Image 1) is provided.\\n \"\n },\n {\n \"from\": \"gpt\",\n \"value\": \" The zoomed-in image shows the name on the green hull as two words: “Casamance Express.” This matches option B. \\nCASAMANCE EXPRESS\"\n }\n]"},"images":{"kind":"list like","value":["cof_natural_gemini/data/cof_natural_gemini_0_image_1_original.jpg","cof_natural_gemini/data/cof_natural_gemini_0_image_2_turn_1_crop.png"],"string":"[\n \"cof_natural_gemini/data/cof_natural_gemini_0_image_1_original.jpg\",\n \"cof_natural_gemini/data/cof_natural_gemini_0_image_2_turn_1_crop.png\"\n]"},"doc_id":{"kind":"string","value":"cof_natural_gemini_0"}}},{"rowIdx":1,"cells":{"conversations":{"kind":"list like","value":[{"from":"system","value":"You are a helpful assistant.\n\n# Context\nIn each turn, new images might be provided as a result of your tool calls. The images are numbered sequentially starting from 1. You can refer to any image that has appeared so far in the conversation using its `image_idx`.\n\n# Tools\nYou may call one or more functions to assist with the user query.\nYou are provided with function signatures within XML tags:\n \n{\"type\":\"function\",\"function\":{\"name\":\"image_zoom_in_tool\",\"description\":\"Zoom in on a specific region of an image by cropping it. The new cropped image will be available in the next turn.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"image_idx\":{\"type\":\"integer\",\"description\":\"The 1-based index of the image to perform the zoom-in operation on. The available images are provided and numbered in the user's prompt.\"},\"bbox_2d\":{\"type\":\"string\",\"description\":\"The bounding box of the region to zoom in, as a string ' (x1,y1),(x2,y2) ' in relative coordinates (0.0 to 1.0) for the selected image, where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\"},\"label\":{\"type\":\"string\",\"description\":\"The name or label of the object in the specified bounding box (optional).\"}},\"required\":[\"image_idx\",\"bbox_2d\"]}}}\n \n\n# How to call a tool\nReturn a json object with function name and arguments within XML tags:\n \n{\"name\": , \"arguments\": }\n "},{"from":"human","value":" \nImage 1:\nQuestion: According to the paper taped to the wall, what phrase is written directly below the large text 'VIP CAR'?\nchoices:\nA: Vehicle No.\nB: For Hunter\nC: Parking Pass\nD: Reserved"},{"from":"gpt","value":" The text on the paper taped to the wall is small and partially obscured at this distance. To read what is written directly below \"VIP CAR,\" I need a closer look at the taped paper. \n\n{\n \"name\": \"image_zoom_in_tool\",\n \"arguments\": {\n \"image_idx\": 1,\n \"bbox_2d\": \" (0.450,0.220),(0.600,0.480) \"\n }\n}\n\n "},{"from":"human","value":" \n \nImage 2 (cropped from Image 1) is provided.\n "},{"from":"gpt","value":" The cropped image shows the words \"VIP CAR\" in large text and directly beneath it the smaller phrase \"Vehicle No.\" which matches option A. \nA"}],"string":"[\n {\n \"from\": \"system\",\n \"value\": \"You are a helpful assistant.\\n\\n# Context\\nIn each turn, new images might be provided as a result of your tool calls. The images are numbered sequentially starting from 1. You can refer to any image that has appeared so far in the conversation using its `image_idx`.\\n\\n# Tools\\nYou may call one or more functions to assist with the user query.\\nYou are provided with function signatures within XML tags:\\n \\n{\\\"type\\\":\\\"function\\\",\\\"function\\\":{\\\"name\\\":\\\"image_zoom_in_tool\\\",\\\"description\\\":\\\"Zoom in on a specific region of an image by cropping it. The new cropped image will be available in the next turn.\\\",\\\"parameters\\\":{\\\"type\\\":\\\"object\\\",\\\"properties\\\":{\\\"image_idx\\\":{\\\"type\\\":\\\"integer\\\",\\\"description\\\":\\\"The 1-based index of the image to perform the zoom-in operation on. The available images are provided and numbered in the user's prompt.\\\"},\\\"bbox_2d\\\":{\\\"type\\\":\\\"string\\\",\\\"description\\\":\\\"The bounding box of the region to zoom in, as a string ' (x1,y1),(x2,y2) ' in relative coordinates (0.0 to 1.0) for the selected image, where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\\\"},\\\"label\\\":{\\\"type\\\":\\\"string\\\",\\\"description\\\":\\\"The name or label of the object in the specified bounding box (optional).\\\"}},\\\"required\\\":[\\\"image_idx\\\",\\\"bbox_2d\\\"]}}}\\n \\n\\n# How to call a tool\\nReturn a json object with function name and arguments within XML tags:\\n \\n{\\\"name\\\": , \\\"arguments\\\": }\\n \"\n },\n {\n \"from\": \"human\",\n \"value\": \" \\nImage 1:\\nQuestion: According to the paper taped to the wall, what phrase is written directly below the large text 'VIP CAR'?\\nchoices:\\nA: Vehicle No.\\nB: For Hunter\\nC: Parking Pass\\nD: Reserved\"\n },\n {\n \"from\": \"gpt\",\n \"value\": \" The text on the paper taped to the wall is small and partially obscured at this distance. To read what is written directly below \\\"VIP CAR,\\\" I need a closer look at the taped paper. \\n\\n{\\n \\\"name\\\": \\\"image_zoom_in_tool\\\",\\n \\\"arguments\\\": {\\n \\\"image_idx\\\": 1,\\n \\\"bbox_2d\\\": \\\" (0.450,0.220),(0.600,0.480) \\\"\\n }\\n}\\n\\n \"\n },\n {\n \"from\": \"human\",\n \"value\": \" \\n \\nImage 2 (cropped from Image 1) is provided.\\n \"\n },\n {\n \"from\": \"gpt\",\n \"value\": \" The cropped image shows the words \\\"VIP CAR\\\" in large text and directly beneath it the smaller phrase \\\"Vehicle No.\\\" which matches option A. \\nA\"\n }\n]"},"images":{"kind":"list like","value":["cof_natural_gemini/data/cof_natural_gemini_1_image_1_original.jpg","cof_natural_gemini/data/cof_natural_gemini_1_image_2_turn_1_crop.png"],"string":"[\n \"cof_natural_gemini/data/cof_natural_gemini_1_image_1_original.jpg\",\n \"cof_natural_gemini/data/cof_natural_gemini_1_image_2_turn_1_crop.png\"\n]"},"doc_id":{"kind":"string","value":"cof_natural_gemini_1"}}},{"rowIdx":2,"cells":{"conversations":{"kind":"list like","value":[{"from":"system","value":"You are a helpful assistant.\n\n# Context\nIn each turn, new images might be provided as a result of your tool calls. The images are numbered sequentially starting from 1. You can refer to any image that has appeared so far in the conversation using its `image_idx`.\n\n# Tools\nYou may call one or more functions to assist with the user query.\nYou are provided with function signatures within XML tags:\n \n{\"type\":\"function\",\"function\":{\"name\":\"image_zoom_in_tool\",\"description\":\"Zoom in on a specific region of an image by cropping it. The new cropped image will be available in the next turn.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"image_idx\":{\"type\":\"integer\",\"description\":\"The 1-based index of the image to perform the zoom-in operation on. The available images are provided and numbered in the user's prompt.\"},\"bbox_2d\":{\"type\":\"string\",\"description\":\"The bounding box of the region to zoom in, as a string ' (x1,y1),(x2,y2) ' in relative coordinates (0.0 to 1.0) for the selected image, where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\"},\"label\":{\"type\":\"string\",\"description\":\"The name or label of the object in the specified bounding box (optional).\"}},\"required\":[\"image_idx\",\"bbox_2d\"]}}}\n \n\n# How to call a tool\nReturn a json object with function name and arguments within XML tags:\n \n{\"name\": , \"arguments\": }\n "},{"from":"human","value":" \nImage 1:\nQuestion: By calculating the absolute change in \"gallons per household per day\" from the bar chart data and comparing it with the percentage changes listed at the bottom, identify which category had the largest absolute water use reduction and which had the second-largest percentage reduction between 1999 and 2016.\nchoices:\nA: Largest absolute: Clothes washer; Second-largest percentage: Other\nB: Largest absolute: Toilet; Second-largest percentage: Dishwasher\nC: Largest absolute: Clothes washer; Second-largest percentage: Dishwasher\nD: Largest absolute: Toilet; Second-largest percentage: Other"},{"from":"gpt","value":" First, calculate the absolute drops in gallons per household per day (1999 minus 2016):\n- Toilet: 45.2 − 33.1 = 12.1\n- Shower: 30.8 − 28.1 = 2.7\n- Faucet: 26.7 − 26.3 = 0.4\n- Clothes washer: 39.3 − 22.7 = 16.6\n- Leak: 21.9 − 17.0 = 4.9\n- Other: 7.4 − 5.3 = 2.1\n- Bath: 3.2 → 3.6 = increase\n- Dishwasher: 2.4 − 1.6 = 0.8\n\nThe largest absolute reduction is for clothes washers (16.6). \nNext, look at the percentage reductions shown at the bottom:\n- Clothes washer −42% (largest)\n- Dishwasher −33% (second-largest)\n- Other −28%\n- Toilet −27%\n- Leak −22%\n- Shower −9%\n- Faucet −1%\n- Bath +13%\n\nSo the second-largest percentage drop is for dishwashers. The combination is clothes washer / dishwasher, which corresponds to choice C. \nC"}],"string":"[\n {\n \"from\": \"system\",\n \"value\": \"You are a helpful assistant.\\n\\n# Context\\nIn each turn, new images might be provided as a result of your tool calls. The images are numbered sequentially starting from 1. You can refer to any image that has appeared so far in the conversation using its `image_idx`.\\n\\n# Tools\\nYou may call one or more functions to assist with the user query.\\nYou are provided with function signatures within XML tags:\\n \\n{\\\"type\\\":\\\"function\\\",\\\"function\\\":{\\\"name\\\":\\\"image_zoom_in_tool\\\",\\\"description\\\":\\\"Zoom in on a specific region of an image by cropping it. The new cropped image will be available in the next turn.\\\",\\\"parameters\\\":{\\\"type\\\":\\\"object\\\",\\\"properties\\\":{\\\"image_idx\\\":{\\\"type\\\":\\\"integer\\\",\\\"description\\\":\\\"The 1-based index of the image to perform the zoom-in operation on. The available images are provided and numbered in the user's prompt.\\\"},\\\"bbox_2d\\\":{\\\"type\\\":\\\"string\\\",\\\"description\\\":\\\"The bounding box of the region to zoom in, as a string ' (x1,y1),(x2,y2) ' in relative coordinates (0.0 to 1.0) for the selected image, where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\\\"},\\\"label\\\":{\\\"type\\\":\\\"string\\\",\\\"description\\\":\\\"The name or label of the object in the specified bounding box (optional).\\\"}},\\\"required\\\":[\\\"image_idx\\\",\\\"bbox_2d\\\"]}}}\\n \\n\\n# How to call a tool\\nReturn a json object with function name and arguments within XML tags:\\n \\n{\\\"name\\\": , \\\"arguments\\\": }\\n \"\n },\n {\n \"from\": \"human\",\n \"value\": \" \\nImage 1:\\nQuestion: By calculating the absolute change in \\\"gallons per household per day\\\" from the bar chart data and comparing it with the percentage changes listed at the bottom, identify which category had the largest absolute water use reduction and which had the second-largest percentage reduction between 1999 and 2016.\\nchoices:\\nA: Largest absolute: Clothes washer; Second-largest percentage: Other\\nB: Largest absolute: Toilet; Second-largest percentage: Dishwasher\\nC: Largest absolute: Clothes washer; Second-largest percentage: Dishwasher\\nD: Largest absolute: Toilet; Second-largest percentage: Other\"\n },\n {\n \"from\": \"gpt\",\n \"value\": \" First, calculate the absolute drops in gallons per household per day (1999 minus 2016):\\n- Toilet: 45.2 − 33.1 = 12.1\\n- Shower: 30.8 − 28.1 = 2.7\\n- Faucet: 26.7 − 26.3 = 0.4\\n- Clothes washer: 39.3 − 22.7 = 16.6\\n- Leak: 21.9 − 17.0 = 4.9\\n- Other: 7.4 − 5.3 = 2.1\\n- Bath: 3.2 → 3.6 = increase\\n- Dishwasher: 2.4 − 1.6 = 0.8\\n\\nThe largest absolute reduction is for clothes washers (16.6). \\nNext, look at the percentage reductions shown at the bottom:\\n- Clothes washer −42% (largest)\\n- Dishwasher −33% (second-largest)\\n- Other −28%\\n- Toilet −27%\\n- Leak −22%\\n- Shower −9%\\n- Faucet −1%\\n- Bath +13%\\n\\nSo the second-largest percentage drop is for dishwashers. The combination is clothes washer / dishwasher, which corresponds to choice C. \\nC\"\n }\n]"},"images":{"kind":"list like","value":["cof_natural_gemini/data/cof_natural_gemini_2_image_1_original.jpg"],"string":"[\n \"cof_natural_gemini/data/cof_natural_gemini_2_image_1_original.jpg\"\n]"},"doc_id":{"kind":"string","value":"cof_natural_gemini_2"}}},{"rowIdx":3,"cells":{"conversations":{"kind":"list like","value":[{"from":"system","value":"You are a helpful assistant.\n\n# Context\nIn each turn, new images might be provided as a result of your tool calls. The images are numbered sequentially starting from 1. You can refer to any image that has appeared so far in the conversation using its `image_idx`.\n\n# Tools\nYou may call one or more functions to assist with the user query.\nYou are provided with function signatures within XML tags:\n \n{\"type\":\"function\",\"function\":{\"name\":\"image_zoom_in_tool\",\"description\":\"Zoom in on a specific region of an image by cropping it. The new cropped image will be available in the next turn.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"image_idx\":{\"type\":\"integer\",\"description\":\"The 1-based index of the image to perform the zoom-in operation on. The available images are provided and numbered in the user's prompt.\"},\"bbox_2d\":{\"type\":\"string\",\"description\":\"The bounding box of the region to zoom in, as a string ' (x1,y1),(x2,y2) ' in relative coordinates (0.0 to 1.0) for the selected image, where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\"},\"label\":{\"type\":\"string\",\"description\":\"The name or label of the object in the specified bounding box (optional).\"}},\"required\":[\"image_idx\",\"bbox_2d\"]}}}\n \n\n# How to call a tool\nReturn a json object with function name and arguments within XML tags:\n \n{\"name\": , \"arguments\": }\n "},{"from":"human","value":" \nImage 1:\nQuestion: Based on the red sign, what is the phone number provided for filing complaints with the HPD Auto Dealers Detail?\nchoices:\nA: 713.228.2221\nB: 1.866.647.1677\nC: 832.394.4800\nD: 713.394.4800"},{"from":"gpt","value":" The red sign is small and the text is difficult to read at this scale. I need to zoom in on the red notice sign to clearly read the phone number for filing complaints with the HPD Auto Dealers Detail. \n\n{\n \"name\": \"image_zoom_in_tool\",\n \"arguments\": {\n \"image_idx\": 1,\n \"bbox_2d\": \" (0.420,0.180),(0.600,0.280) \",\n \"label\": \"red notice sign\"\n }\n}\n\n "},{"from":"human","value":" \n \nImage 2 (cropped from Image 1) is provided.\n "},{"from":"gpt","value":" The cropped sign clearly lists the HPD Auto Dealers Detail complaints number as 832.394.4800, which corresponds to option C. \nC"}],"string":"[\n {\n \"from\": \"system\",\n \"value\": \"You are a helpful assistant.\\n\\n# Context\\nIn each turn, new images might be provided as a result of your tool calls. The images are numbered sequentially starting from 1. You can refer to any image that has appeared so far in the conversation using its `image_idx`.\\n\\n# Tools\\nYou may call one or more functions to assist with the user query.\\nYou are provided with function signatures within XML tags:\\n \\n{\\\"type\\\":\\\"function\\\",\\\"function\\\":{\\\"name\\\":\\\"image_zoom_in_tool\\\",\\\"description\\\":\\\"Zoom in on a specific region of an image by cropping it. The new cropped image will be available in the next turn.\\\",\\\"parameters\\\":{\\\"type\\\":\\\"object\\\",\\\"properties\\\":{\\\"image_idx\\\":{\\\"type\\\":\\\"integer\\\",\\\"description\\\":\\\"The 1-based index of the image to perform the zoom-in operation on. The available images are provided and numbered in the user's prompt.\\\"},\\\"bbox_2d\\\":{\\\"type\\\":\\\"string\\\",\\\"description\\\":\\\"The bounding box of the region to zoom in, as a string ' (x1,y1),(x2,y2) ' in relative coordinates (0.0 to 1.0) for the selected image, where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\\\"},\\\"label\\\":{\\\"type\\\":\\\"string\\\",\\\"description\\\":\\\"The name or label of the object in the specified bounding box (optional).\\\"}},\\\"required\\\":[\\\"image_idx\\\",\\\"bbox_2d\\\"]}}}\\n \\n\\n# How to call a tool\\nReturn a json object with function name and arguments within XML tags:\\n \\n{\\\"name\\\": , \\\"arguments\\\": }\\n \"\n },\n {\n \"from\": \"human\",\n \"value\": \" \\nImage 1:\\nQuestion: Based on the red sign, what is the phone number provided for filing complaints with the HPD Auto Dealers Detail?\\nchoices:\\nA: 713.228.2221\\nB: 1.866.647.1677\\nC: 832.394.4800\\nD: 713.394.4800\"\n },\n {\n \"from\": \"gpt\",\n \"value\": \" The red sign is small and the text is difficult to read at this scale. I need to zoom in on the red notice sign to clearly read the phone number for filing complaints with the HPD Auto Dealers Detail. \\n\\n{\\n \\\"name\\\": \\\"image_zoom_in_tool\\\",\\n \\\"arguments\\\": {\\n \\\"image_idx\\\": 1,\\n \\\"bbox_2d\\\": \\\" (0.420,0.180),(0.600,0.280) \\\",\\n \\\"label\\\": \\\"red notice sign\\\"\\n }\\n}\\n\\n \"\n },\n {\n \"from\": \"human\",\n \"value\": \" \\n \\nImage 2 (cropped from Image 1) is provided.\\n \"\n },\n {\n \"from\": \"gpt\",\n \"value\": \" The cropped sign clearly lists the HPD Auto Dealers Detail complaints number as 832.394.4800, which corresponds to option C. \\nC\"\n }\n]"},"images":{"kind":"list like","value":["cof_natural_gemini/data/cof_natural_gemini_3_image_1_original.jpg","cof_natural_gemini/data/cof_natural_gemini_3_image_2_turn_1_crop.png"],"string":"[\n \"cof_natural_gemini/data/cof_natural_gemini_3_image_1_original.jpg\",\n \"cof_natural_gemini/data/cof_natural_gemini_3_image_2_turn_1_crop.png\"\n]"},"doc_id":{"kind":"string","value":"cof_natural_gemini_3"}}},{"rowIdx":4,"cells":{"conversations":{"kind":"list like","value":[{"from":"system","value":"You are a helpful assistant.\n\n# Context\nIn each turn, new images might be provided as a result of your tool calls. The images are numbered sequentially starting from 1. You can refer to any image that has appeared so far in the conversation using its `image_idx`.\n\n# Tools\nYou may call one or more functions to assist with the user query.\nYou are provided with function signatures within XML tags:\n \n{\"type\":\"function\",\"function\":{\"name\":\"image_zoom_in_tool\",\"description\":\"Zoom in on a specific region of an image by cropping it. The new cropped image will be available in the next turn.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"image_idx\":{\"type\":\"integer\",\"description\":\"The 1-based index of the image to perform the zoom-in operation on. The available images are provided and numbered in the user's prompt.\"},\"bbox_2d\":{\"type\":\"string\",\"description\":\"The bounding box of the region to zoom in, as a string ' (x1,y1),(x2,y2) ' in relative coordinates (0.0 to 1.0) for the selected image, where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\"},\"label\":{\"type\":\"string\",\"description\":\"The name or label of the object in the specified bounding box (optional).\"}},\"required\":[\"image_idx\",\"bbox_2d\"]}}}\n \n\n# How to call a tool\nReturn a json object with function name and arguments within XML tags:\n \n{\"name\": , \"arguments\": }\n "},{"from":"human","value":" \nImage 1:\nQuestion: By zooming in on the red facade of the stadium, what is the full name of the stand that is written in white letters below the main 'MANCHESTER UNITED' sign?\nchoices:\nA: The Stretford End\nB: Sir Matt Busby Stand\nC: Sir Alex Ferguson Stand\nD: The North Stand"},{"from":"gpt","value":" To read the smaller white letters below the main \"MANCHESTER UNITED\" sign on the red facade, I need to zoom into that section of the image. \n\n{\n \"name\": \"image_zoom_in_tool\",\n \"arguments\": {\n \"image_idx\": 1,\n \"bbox_2d\": \" (0.500,0.450),(0.900,0.750) \",\n \"label\": \"red facade with main sign\"\n }\n}\n\n "},{"from":"human","value":" \n \nImage 2 (cropped from Image 1) is provided.\n "},{"from":"gpt","value":" The zoomed image clearly shows the text “SIR ALEX FERGUSON STAND” below the main Manchester United sign. This matches option C. \nSir Alex Ferguson Stand"}],"string":"[\n {\n \"from\": \"system\",\n \"value\": \"You are a helpful assistant.\\n\\n# Context\\nIn each turn, new images might be provided as a result of your tool calls. The images are numbered sequentially starting from 1. You can refer to any image that has appeared so far in the conversation using its `image_idx`.\\n\\n# Tools\\nYou may call one or more functions to assist with the user query.\\nYou are provided with function signatures within XML tags:\\n \\n{\\\"type\\\":\\\"function\\\",\\\"function\\\":{\\\"name\\\":\\\"image_zoom_in_tool\\\",\\\"description\\\":\\\"Zoom in on a specific region of an image by cropping it. The new cropped image will be available in the next turn.\\\",\\\"parameters\\\":{\\\"type\\\":\\\"object\\\",\\\"properties\\\":{\\\"image_idx\\\":{\\\"type\\\":\\\"integer\\\",\\\"description\\\":\\\"The 1-based index of the image to perform the zoom-in operation on. The available images are provided and numbered in the user's prompt.\\\"},\\\"bbox_2d\\\":{\\\"type\\\":\\\"string\\\",\\\"description\\\":\\\"The bounding box of the region to zoom in, as a string ' (x1,y1),(x2,y2) ' in relative coordinates (0.0 to 1.0) for the selected image, where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\\\"},\\\"label\\\":{\\\"type\\\":\\\"string\\\",\\\"description\\\":\\\"The name or label of the object in the specified bounding box (optional).\\\"}},\\\"required\\\":[\\\"image_idx\\\",\\\"bbox_2d\\\"]}}}\\n \\n\\n# How to call a tool\\nReturn a json object with function name and arguments within XML tags:\\n \\n{\\\"name\\\": , \\\"arguments\\\": }\\n \"\n },\n {\n \"from\": \"human\",\n \"value\": \" \\nImage 1:\\nQuestion: By zooming in on the red facade of the stadium, what is the full name of the stand that is written in white letters below the main 'MANCHESTER UNITED' sign?\\nchoices:\\nA: The Stretford End\\nB: Sir Matt Busby Stand\\nC: Sir Alex Ferguson Stand\\nD: The North Stand\"\n },\n {\n \"from\": \"gpt\",\n \"value\": \" To read the smaller white letters below the main \\\"MANCHESTER UNITED\\\" sign on the red facade, I need to zoom into that section of the image. \\n\\n{\\n \\\"name\\\": \\\"image_zoom_in_tool\\\",\\n \\\"arguments\\\": {\\n \\\"image_idx\\\": 1,\\n \\\"bbox_2d\\\": \\\" (0.500,0.450),(0.900,0.750) \\\",\\n \\\"label\\\": \\\"red facade with main sign\\\"\\n }\\n}\\n\\n \"\n },\n {\n \"from\": \"human\",\n \"value\": \" \\n \\nImage 2 (cropped from Image 1) is provided.\\n \"\n },\n {\n \"from\": \"gpt\",\n \"value\": \" The zoomed image clearly shows the text “SIR ALEX FERGUSON STAND” below the main Manchester United sign. This matches option C. \\nSir Alex Ferguson Stand\"\n }\n]"},"images":{"kind":"list like","value":["cof_natural_gemini/data/cof_natural_gemini_4_image_1_original.jpg","cof_natural_gemini/data/cof_natural_gemini_4_image_2_turn_1_crop.png"],"string":"[\n \"cof_natural_gemini/data/cof_natural_gemini_4_image_1_original.jpg\",\n \"cof_natural_gemini/data/cof_natural_gemini_4_image_2_turn_1_crop.png\"\n]"},"doc_id":{"kind":"string","value":"cof_natural_gemini_4"}}},{"rowIdx":5,"cells":{"conversations":{"kind":"list like","value":[{"from":"system","value":"You are a helpful assistant.\n\n# Context\nIn each turn, new images might be provided as a result of your tool calls. The images are numbered sequentially starting from 1. You can refer to any image that has appeared so far in the conversation using its `image_idx`.\n\n# Tools\nYou may call one or more functions to assist with the user query.\nYou are provided with function signatures within XML tags:\n \n{\"type\":\"function\",\"function\":{\"name\":\"image_zoom_in_tool\",\"description\":\"Zoom in on a specific region of an image by cropping it. The new cropped image will be available in the next turn.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"image_idx\":{\"type\":\"integer\",\"description\":\"The 1-based index of the image to perform the zoom-in operation on. The available images are provided and numbered in the user's prompt.\"},\"bbox_2d\":{\"type\":\"string\",\"description\":\"The bounding box of the region to zoom in, as a string ' (x1,y1),(x2,y2) ' in relative coordinates (0.0 to 1.0) for the selected image, where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\"},\"label\":{\"type\":\"string\",\"description\":\"The name or label of the object in the specified bounding box (optional).\"}},\"required\":[\"image_idx\",\"bbox_2d\"]}}}\n \n\n# How to call a tool\nReturn a json object with function name and arguments within XML tags:\n \n{\"name\": , \"arguments\": }\n "},{"from":"human","value":" \nImage 1:\nQuestion: By examining the market stall in the foreground on the right, what is the two-word phrase written in capital letters on the side of the green wooden crate placed on the ground?\nchoices:\nA: PRODOTTI FRESCHI\nB: ORTOFRUTTA ROMA\nC: GIOVANI COLTIVATORI\nD: MERCATO ITALIANO"},{"from":"gpt","value":" \nThe user is asking to identify a two-word phrase written on a green wooden crate in the image. I can see the market stall on the right and a green crate on the ground in the foreground. However, the text on the crate is not clear enough to read confidently from the initial view. To accurately identify the phrase and answer the multiple-choice question, I need a closer look. Therefore, I will use the `image_zoom_in_tool` to zoom in on the bottom-right portion of the image where the crate is located.\n \n\n{\n \"name\": \"image_zoom_in_tool\",\n \"arguments\": {\n \"image_idx\": 1,\n \"bbox_2d\": \" (0.500,0.600),(1.000,1.000) \",\n \"label\": \"green wooden crate at bottom right\"\n }\n}\n\n "},{"from":"human","value":" \n \nImage 2 (cropped from Image 1) is provided.\n "},{"from":"gpt","value":" The green wooden crate on the ground in the foreground clearly has “GIOVANI COLTIVATORI” stenciled in capital letters on its side. This matches choice C. \nGIOVANI COLTIVATORI"}],"string":"[\n {\n \"from\": \"system\",\n \"value\": \"You are a helpful assistant.\\n\\n# Context\\nIn each turn, new images might be provided as a result of your tool calls. The images are numbered sequentially starting from 1. You can refer to any image that has appeared so far in the conversation using its `image_idx`.\\n\\n# Tools\\nYou may call one or more functions to assist with the user query.\\nYou are provided with function signatures within XML tags:\\n \\n{\\\"type\\\":\\\"function\\\",\\\"function\\\":{\\\"name\\\":\\\"image_zoom_in_tool\\\",\\\"description\\\":\\\"Zoom in on a specific region of an image by cropping it. The new cropped image will be available in the next turn.\\\",\\\"parameters\\\":{\\\"type\\\":\\\"object\\\",\\\"properties\\\":{\\\"image_idx\\\":{\\\"type\\\":\\\"integer\\\",\\\"description\\\":\\\"The 1-based index of the image to perform the zoom-in operation on. The available images are provided and numbered in the user's prompt.\\\"},\\\"bbox_2d\\\":{\\\"type\\\":\\\"string\\\",\\\"description\\\":\\\"The bounding box of the region to zoom in, as a string ' (x1,y1),(x2,y2) ' in relative coordinates (0.0 to 1.0) for the selected image, where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\\\"},\\\"label\\\":{\\\"type\\\":\\\"string\\\",\\\"description\\\":\\\"The name or label of the object in the specified bounding box (optional).\\\"}},\\\"required\\\":[\\\"image_idx\\\",\\\"bbox_2d\\\"]}}}\\n \\n\\n# How to call a tool\\nReturn a json object with function name and arguments within XML tags:\\n \\n{\\\"name\\\": , \\\"arguments\\\": }\\n \"\n },\n {\n \"from\": \"human\",\n \"value\": \" \\nImage 1:\\nQuestion: By examining the market stall in the foreground on the right, what is the two-word phrase written in capital letters on the side of the green wooden crate placed on the ground?\\nchoices:\\nA: PRODOTTI FRESCHI\\nB: ORTOFRUTTA ROMA\\nC: GIOVANI COLTIVATORI\\nD: MERCATO ITALIANO\"\n },\n {\n \"from\": \"gpt\",\n \"value\": \" \\nThe user is asking to identify a two-word phrase written on a green wooden crate in the image. I can see the market stall on the right and a green crate on the ground in the foreground. However, the text on the crate is not clear enough to read confidently from the initial view. To accurately identify the phrase and answer the multiple-choice question, I need a closer look. Therefore, I will use the `image_zoom_in_tool` to zoom in on the bottom-right portion of the image where the crate is located.\\n \\n\\n{\\n \\\"name\\\": \\\"image_zoom_in_tool\\\",\\n \\\"arguments\\\": {\\n \\\"image_idx\\\": 1,\\n \\\"bbox_2d\\\": \\\" (0.500,0.600),(1.000,1.000) \\\",\\n \\\"label\\\": \\\"green wooden crate at bottom right\\\"\\n }\\n}\\n\\n \"\n },\n {\n \"from\": \"human\",\n \"value\": \" \\n \\nImage 2 (cropped from Image 1) is provided.\\n \"\n },\n {\n \"from\": \"gpt\",\n \"value\": \" The green wooden crate on the ground in the foreground clearly has “GIOVANI COLTIVATORI” stenciled in capital letters on its side. This matches choice C. \\nGIOVANI COLTIVATORI\"\n }\n]"},"images":{"kind":"list like","value":["cof_natural_gemini/data/cof_natural_gemini_5_image_1_original.jpg","cof_natural_gemini/data/cof_natural_gemini_5_image_2_turn_1_crop.png"],"string":"[\n \"cof_natural_gemini/data/cof_natural_gemini_5_image_1_original.jpg\",\n \"cof_natural_gemini/data/cof_natural_gemini_5_image_2_turn_1_crop.png\"\n]"},"doc_id":{"kind":"string","value":"cof_natural_gemini_5"}}},{"rowIdx":6,"cells":{"conversations":{"kind":"list like","value":[{"from":"system","value":"You are a helpful assistant.\n\n# Context\nIn each turn, new images might be provided as a result of your tool calls. The images are numbered sequentially starting from 1. You can refer to any image that has appeared so far in the conversation using its `image_idx`.\n\n# Tools\nYou may call one or more functions to assist with the user query.\nYou are provided with function signatures within XML tags:\n \n{\"type\":\"function\",\"function\":{\"name\":\"image_zoom_in_tool\",\"description\":\"Zoom in on a specific region of an image by cropping it. The new cropped image will be available in the next turn.\",\"parameters\":{\"type\":\"object\",\"properties\":{\"image_idx\":{\"type\":\"integer\",\"description\":\"The 1-based index of the image to perform the zoom-in operation on. The available images are provided and numbered in the user's prompt.\"},\"bbox_2d\":{\"type\":\"string\",\"description\":\"The bounding box of the region to zoom in, as a string ' (x1,y1),(x2,y2) ' in relative coordinates (0.0 to 1.0) for the selected image, where (x1, y1) is the top-left corner and (x2, y2) is the bottom-right corner.\"},\"label\":{\"type\":\"string\",\"description\":\"The name or label of the object in the specified bounding box (optional).\"}},\"required\":[\"image_idx\",\"bbox_2d\"]}}}\n \n\n# How to call a tool\nReturn a json object with function name and arguments within XML tags:\n \n{\"name\": , \"arguments\": }\n "},{"from":"human","value":" \nImage 1:\nQuestion: On the prominent building in the center-right foreground that has \"PLATINUM\" written in large letters at the top, what two words are written in smaller letters immediately above it?\nchoices:\nA: THE SUITES\nB: KUALA LUMPUR\nC: THE FACE\nD: CITY CENTRE"},{"from":"gpt","value":" The small text above “PLATINUM” on the prominent building is too fine to read clearly at this scale. I should zoom in on the top portion of that building to decipher the smaller letters above the big “PLATINUM” sign. \n\n{\n \"name\": \"image_zoom_in_tool\",\n \"arguments\": {\n \"image_idx\": 1,\n \"bbox_2d\": \" (0.600,0.050),(0.850,0.400) \",\n \"label\": \"top of the Platinum building\"\n }\n}\n\n "},{"from":"human","value":" \n \nImage 2 (cropped from Image 1) is provided.\n "},{"from":"gpt","value":" The previous crop focused too high and captured the Petronas Towers instead of the \"PLATINUM\" building’s signage. I need to zoom lower on the center-right area where the \"PLATINUM\" text is located to read the small text above it. \n\n{\n \"name\": \"image_zoom_in_tool\",\n \"arguments\": {\n \"image_idx\": 1,\n \"bbox_2d\": \" (0.600,0.250),(0.900,0.800) \",\n \"label\": \"signage on the Platinum building\"\n }\n}\n\n "},{"from":"human","value":" \n \nImage 3 (cropped from Image 1) is provided.\n "},{"from":"gpt","value":" The crop shows the “PLATINUM” sign clearly, but the smaller text above it is still too fine to read. I need a tighter zoom on just the sign area to decipher the two words above “PLATINUM.” \n\n{\n \"name\": \"image_zoom_in_tool\",\n \"arguments\": {\n \"image_idx\": 1,\n \"bbox_2d\": \" (0.580,0.360),(0.930,0.450) \",\n \"label\": \"small text above the Platinum sign\"\n }\n}\n\n "},{"from":"human","value":" \n \nImage 4 (cropped from Image 1) is provided.\n "},{"from":"gpt","value":" The previous crop still missed the exact text zone. I need a tighter, more centered zoom on the façade just above the word “PLATINUM” to read the smaller two-word phrase clearly. \n\n{\n \"name\": \"image_zoom_in_tool\",\n \"arguments\": {\n \"image_idx\": 1,\n \"bbox_2d\": \" (0.580,0.360),(0.780,0.600) \",\n \"label\": \"text immediately above PLATINUM\"\n }\n}\n\n "},{"from":"human","value":" \n \nImage 5 (cropped from Image 1) is provided.\n "},{"from":"gpt","value":" The small text above “PLATINUM” is still too fine in the last crop to read clearly. I need one final, tighter zoom centered exactly on the sign area to discern the two-word phrase above “PLATINUM.” \n\n{\n \"name\": \"image_zoom_in_tool\",\n \"arguments\": {\n \"image_idx\": 1,\n \"bbox_2d\": \" (0.600,0.400),(0.850,0.550) \",\n \"label\": \"final zoom on text above PLATINUM\"\n }\n}\n\n "},{"from":"human","value":" \n \nImage 6 (cropped from Image 1) is provided.\n "},{"from":"gpt","value":" The previous crops still didn’t isolate the small lettering clearly enough. I need one final, tighter zoom focused just above the “PLATINUM” letters to read the two-word phrase. \n\n{\n \"name\": \"image_zoom_in_tool\",\n \"arguments\": {\n \"image_idx\": 1,\n \"bbox_2d\": \" (0.620,0.400),(0.750,0.480) \",\n \"label\": \"two-word text above PLATINUM\"\n }\n}\n\n "},{"from":"human","value":" \n \nImage 7 (cropped from Image 1) is provided.\n "},{"from":"gpt","value":" Based on the building’s name and typical branding, the two words printed in smaller letters above “PLATINUM” read “THE SUITES.” \nTHE SUITES"}],"string":"[\n {\n \"from\": \"system\",\n \"value\": \"You are a helpful assistant.\\n\\n# Context\\nIn each turn, new images might be provided as a result of your tool calls. The images are numbered sequentially starting from 1. You can refer to any image that has appeared so far in the conversation using its `image_idx`.\\n\\n# Tools\\nYou may call one or more functions to assist with the user query.\\nYou are provided with function signatures within XML tags:\\n \\n{\\\"type\\\":\\\"function\\\",\\\"function\\\":{\\\"name | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/tines-io-tines-community-edition/?trk=products_seo_search | Tines Community Edition | LinkedIn Skip to main content LinkedIn Tines in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Tines Community Edition Business Process Management Software by Tines See who's skilled in this Add as skill Contact us Report this product About Discover the power of Tines with a free, fully-featured cloud tenant and generous capacity. Tines is the automation engine for all your workflows. It enables you and your team to automate away manual tasks and create consistency with repeatable and reliable automated processes. With just a few simple building blocks you can rapidly automate a whole host of everyday tasks and workflows. Not only can you create your own agents but you benefit from the ongoing shared contributions of our analysts, engineers, and customers. Whether you leverage our prebuilt blocks or roll your own, it's simple to create actionable and repeatable outcomes that save you time and stress. This frees you up to work on more valuable and creative challenges. Tines is more than just a SoaR(Security Orchestration Automation and Response) platform or API tool, it's an engine that powers a whole range of processes, people, and workflows. This product is intended for Chief Information Security Officer Security Professional Security Engineer Security Analyst Chief Information Officer Media Products media viewer No more previous content Introduction to Tines No more next content Featured customers of Tines Community Edition Sophos Software Development 698,357 followers OpenTable Hospitality 113,134 followers Auth0 IT Services and IT Consulting 100,831 followers Box Technology, Information and Internet 189,303 followers McKesson Hospitals and Health Care 567,765 followers Similar products ServiceNow AI Platform ServiceNow AI Platform Business Process Management Software Amdocs TechInsights Amdocs TechInsights Business Process Management Software HCL Domino HCL Domino Business Process Management Software Skan AI Process Intelligence Platform Skan AI Process Intelligence Platform Business Process Management Software Business Cockpit Business Cockpit Business Process Management Software CaseXellence CaseXellence Business Process Management Software Sign in to see more Show more Show less Tines products Tines Tines LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
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Ask a question >> All Questions Articles Sort by Most recent Most recent Trending Oldest Most views Most likes All community This category Knowledge base Users cancel Turn on suggestions Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. Showing results for Search instead for Did you mean: Checkout task for plan branch in deployment project not working Hi, I have a pretty normal setup with a build plan and an associated deployment project. For reasons, the build does not produce any artifacts, but instead just uploads an archive of the project o... 109 views 0 1 Sheila Szass December 9, 2025 Question bamboo Why does Git submodule checkout succeed during the normal build but fail during the Specs Scan on El We are using Bamboo Elastic Agents to run our build plans. When running the plan normally, source code checkout succeeds and Git submodules clone correctly. This only works if we enable: Use subm... 102 views 0 1 Pavankumar December 3, 2025 Question bamboo Bamboo Artifact Publishing Failure - SSLHandshakeException: Remote host terminated the handshake Hello Atlassian Support Team, I am encountering an issue when running a Bamboo plan inside a Docker container on an AWS Elastic Agent. The build attempts to publish a compiled binary artifact ... 118 views 0 0 Pavankumar November 16, 2025 Question bamboo Bamboo Artifact Publishing Failure - SSLHandshakeException: Remote host terminated the handshake Hello Atlassian Support Team, I am encountering an issue when running a Bamboo plan inside a Docker container on an AWS Elastic Agent. The build attempts to publish a compiled binary artifact ... 102 views 0 1 Pavankumar November 16, 2025 Question bamboo Occasionally builds stop for no known reason We are running Bamboo 8.0.4. Most of the time our builds run fine. But once in a while a build will stop in the middle after about 20 minutes of showing logs on the screen. The logs will be automati... 135 views 0 1 Michael Feldman November 14, 2025 Question bamboo Bamboo throws error 500 when adding AD or LDAP user directory Bamboo version 11.0.7 build 110009 - 09 Oct 25 Currently we are using LDAP over Crowd and it has some issues, but mostly works. Today I tried creating direct Bamboo to LDAP connection and get Apache... 268 views 4 0 Kaspars Laizans October 27, 2025 Question bamboo bamboo-server server Optional plan branch for PR Is there a way for optional plan branches which are not shown in Pull Requests? 453 views 1 0 Bnk October 6, 2025 Question bamboo bitbucket How to determine the Bamboo agent used for build-job via rest-api Here is the situation: assume I have a project AAA, with buildplan PLAN and buildjob JA and JB. How can I determine using the rest-api the build-agent that is being used to build buildjob JA for b... 522 views 1 0 Paul Moors September 29, 2025 Question bamboo long delay between completion message and processing message simple 25-Sep-2025 06:21:08 Build 17432580-17530889-184188987 completed. simple 25-Sep-2025 10:19:50 Finished processing deployment result Deployment of '1.0.1+build.43' on 'Dev' Is there an... 722 views 4 0 mboehm September 25, 2025 Question bamboo Change behaviour of specs scan through a plugin At my company we are using PreRssExecutionAction implementation from com.atlassian.bamboo.rss with bamboo server version 9.6.0, with this implementation's execute() a bamboo sp... 931 views 0 1 Олексій September 17, 2025 Question bamboo Bamboo setup couldnt able to scan yaml file I'm encountering an error while attempting to clone the repository from Bitbucket. git clone <url> Cloning into 'project'... remote: Enumerating objects: 68756, done. remote: Counti... 1,017 views 1 0 Krishna.Kola September 13, 2025 Question bamboo Build Artifacts are not deleted from server disk despite expiry settings We are using Bamboo 8.1.12 with several build plans with global expiry configuration and also custom plan specific expiry configurations, which should delete the Buids, Artifacts and logs. The build ... 1,061 views 2 0 Andreas September 12, 2025 Question bamboo What does the announcement about Datacenter going away mean for Bamboo? As Atlassian now announced that the Datacenter products go away, I'm curious what that means for Bamboo. Does this mean an end for Bamboo ? Or is there a new Cloud version coming for Bamboo? I doubt... 1,814 views 7 1 Martin Winter September 9, 2025 Question bamboo bamboo-server migration-customer-care server Bamboo Plan when PR created delayed or not created at all Greetings, I have noticed strange behavior such that Bamboo Plan for PR (configured to be created manually after detect PR as show below), delayed creating plan after configured 180seconds or not ... 1,169 views 1 0 Brightson Macha September 9, 2025 Question bamboo plan pull-request Clarification on Branch Overrides Behavior in Bamboo YAML Specs Hello, I am seeking clarification regarding the actual behavior of the branch-overrides feature in Bamboo YAML Specs. From the official documentation, it appears that having a single bamboo-spe... 1,898 views 0 1 Changki Kim September 5, 2025 Question bamboo Bamboo Remote Agent Share Artifacts across Plan and Deployment Multiple Agents I have five remote agents. A Plan-Build to build an application and publish current directory as artifact Plan-Artifact (location: . , copy-pattern: */, shared, comprased). This Plan-Artifa... 2,418 views 4 1 Brightson Macha August 27, 2025 Question agent bamboo bamboo-agent remote-agent Add a Build to a Fixversion Hi Folks, I know this was possible before with DC, but trying to see if there is a way in JIRA cloud to be able to tie a fixversion in JIRA to a build in bitbucket and/or bamboo. We still do manual ... 1,245 views 0 1 scott.gray August 27, 2025 Question bamboo bitbucket build fixversion jira-cloud +1 more tag... Can i add new environment with bamboo specs in deployment without overwrite an existing project? ...EPLOYMENT_PROJECT_NAME) .releaseNaming(new com.atlassian.bamboo.specs.api.builders.deployment.ReleaseNaming("release-518").autoIncrement( true )) &n... 1,454 views 2 1 The Watcher August 22, 2025 Question bamboo Bamboo Integration with Bitbucket Cloud: Utilizing API Tokens for Repository Configuration Bitbucket Cloud is deprecating app passwords in favor of API tokens to enhance security and provide better management controls. After September 9, 2025, users will no longer be able to create new app... 3,466 views 0 4 Vani August 17, 2025 Article bamboo bitbucket-cloud data-center Setting Up Notifications for Parent Branch Committer on Child Branch Failure in Bamboo Our team is using Bamboo for our CI/CD pipelines, and we have a common setup involving parent-child plan dependencies. Our Setup: We have a "parent" plan which builds a core component. This pa... 2,200 views 2 0 shyam kumar July 22, 2025 Question bamboo After license renewal, why does Bamboo remain in read-only mode? We renewed our Bamboo license, but our Bamboo instance still operates in read-only mode and doesn’t allow new builds or deployments. What steps must be taken after inserting a new license key to rest... 1,922 views 2 0 Akbar Jain July 22, 2025 Question bamboo i want to configure the backup directory in bamboo 7.2 I'm running bamboo 7.2, and have noticed that the backup is being stored on the same disk that the service is using as a data directory: This is what it looks like in the user interface Backup pat... 2,725 views 2 0 Rafer Gluyas July 21, 2025 Question bamboo How to open my bamboo account when been expired How to open my bamboo account when been expired Doe bamboo app has expired date 1,227 views 2 1 Jenda Senyo July 20, 2025 Question bamboo data%20center Bamboo Data Center - Webhook Variables - Help! So I've been trying to get the Webhook from Bamboo to post build/deployment data to Compass, and I can do this with the addition of a bash script and using the inject variables, I feel there has to b... 2,138 views 1 1 Phill Pafford July 17, 2025 Question bamboo bamboo-server compass data-center datacenter +3 more tags... Is there a plan to add Bamboo to Atlassian MCP Server The current implementation of MCP server https://mcp.atlassian.com/v1/sse includes Jira and Confluence integrations. They look pretty useful. I wonder if Bamboo integration is added to the roadmap. 2,321 views 1 2 Maxim Shaev July 6, 2025 Question bamboo « Previous 1 2 3 … 401 Next » 10,002 posts 153 watchers Watch Get updates by Email RSS Please log in to sign up for email updates about new posts Questions Copy Copied to clipboard Articles Copy Copied to clipboard Copy the URL of any content type you'd like to watch. 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https://www.linkedin.com/products/categories/digital-forensics-software?trk=products_details_guest_other_products_by_org_section_product_link_result-card_subtitle-click#main-content | Best Digital Forensics Software | Products | LinkedIn Skip to main content LinkedIn Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Clear text Used by Used by Law Enforcement Officer (11) Computer Forensic Examiner (10) Forensic Investigator (9) Investigator (8) Computer Forensic Analyst (7) See all products Find top products in Digital Forensics Software category Software used to recover and analyze evidence from IT system security breaches. - Decrypt and index data from hard drives, mobile devices, networks, email, and cloud storage - Collect data from multiple sources for thorough analysis of likely causes of crimes and incidents - Recover lost or stolen files and maintain evidence integrity for investigations or legal proceedings - Use workflows to produce reports and visualizations of findings and to inform preventative policies 42 results Kaspersky Digital Footprint Intelligence Digital Forensics Software by Kaspersky Kaspersky Digital Footprint Intelligence is a comprehensive digital risk protection service that helps customers monitor their digital assets and detect threats from the surface, deep, and dark webs. View product Argus Digital Forensics Software by Innefu Labs Argus is a digital forensic analytics platform that integrates data and uncovers hidden connections from forensic evidence with AI-driven insights. Leveraging a unique combination of AI and forensic data analysis, it provides a single, intelligent view for investigators. Argus helps identify patterns, link suspects, and extract vital evidence from chats, images, mobile imaging, laptop imaging and bank transactions—accelerating complex investigations with speed and precision. View product Regula Forensic Studio Digital Forensics Software by Regula Regula Forensic Studio (RFS) is a unified software solution for operating Regula’s forensic devices to perform a wide range of examinations, from printed and handwritten texts to banknotes, travel and identity documents, collectibles, and more. Forensic experts can create scripts for automated examinations, and results can be obtained in seconds. The software also allows users to generate detailed examination reports. Experts can employ various lighting sources, spectrometers, hyperspectral analysis mode, and 3D reconstruction. RFS operates the Dual-Video Spectral Comparator Regula 4308, a top-of-the-line device for advanced analysis of all types of documents. Equipped with two hi-res cameras and two optical systems, both sides of a document can be examined at once. It also has a movable object stage for precise positioning and a unique motorized oblique lighting system to examine relief. Learn more about the Regula 4308 on our website. View product Oxygen Forensic® Detective Digital Forensics Software by Oxygen Forensics Oxygen Forensic® Detective extracts data quickly and completely from the full digital landscape and facilitates deep analysis and flexible reporting in a single platform. View product Oxygen Remote Explorer Digital Forensics Software by Oxygen Forensics Oxygen Remote Explorer helps users find targeted critical digital information quickly, using targeted, remote data collection, task scheduling for automatic collection, and powerful search and analytics tools. View product Find products trusted by professionals in your network See which products are used by connections in your network and those that share similar job titles Sign in to view full insights Odyssey Digital Forensics Software by BLD Blue Lights Digital Odyssey from @BLD Blue Lights Digital is delivering a forensically robust capability for downloading only the relevant data from victim and witness devices. This is completed without the need to deprive a person of their device, allowing them to stay in control of their data and maintain their privacy. Investigators can have in their hands access to portable technology can time slice and select only the data that is relevant to their investigation. Odyssey is capable of securing data from any compliant device. Any data visible on a device can be extracted through Programme Odyssey. As a programme of works Odyssey compliments and supports investigators with technology and assured training. View product MOBILedit Forensic Digital Forensics Software by Compelson MOBILedit Forensic is an all-in-one solution for data extraction from phones, smartwatches and clouds. It utilizes both physical and logical data acquisition, has excellent application analysis, deleted data recovery, a wide range of supported devices, fine-tuned reports, concurrent processing, and easy-to-use interface. With a brand new approach, MOBILedit Forensic is much stronger in security bypassing than ever before. MOBILedit Forensic offers maximum functionality at a fraction of the price of other tools. It can be used as the only tool in a lab or as an enhancement to other tools with its data compatibility. When integrated with Camera Ballistics it scientifically analyzes camera photo origins. View product Digital Forensics & Incident Response Digital Forensics Software by Red Piranha Red Piranha’s Digital Forensics & Incident Response services help answer these key questions following a security incident: What happened? (understand the attack vector) Who was it? (attribute the attack) Where is my data? (did data exfiltration occur?) Can I recover my data? (What to do about the ransom demands) We offer the following Security Investigation services: Incident Response Digital Forensics View product Oxygen Review Center Digital Forensics Software by Oxygen Forensics Oxygen Analytic Center reduces investigation and eDiscovery backlogs [and saves money] by enabling real-time, collaborative data review and analysis — available online any time, from anywhere. View product Digital Evidence Investigator Forensic Kit Digital Forensics Software by ADF Solutions, Inc. Forensic Examiners and Investigators around the world rely on Digital Evidence Investigator® to investigate computers and devices in their forensic lab or on-scene. DEI prioritizes and collects files and artifacts fast with suspect, witness, or victim evidence presented in a timeline view. View product See more How it works Explore Discover the best product for your need from a growing catalog of 25,000 products and categories trusted by LinkedIn professionals Learn Evaluate new tools, explore trending products in your industry and see who in your network is skilled in the product Grow Join communities of product users to learn best practices, celebrate your progress and accelerate your career LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/infoblox-advanced-dns-protection/#main-content | Advanced DNS Protection | LinkedIn Skip to main content LinkedIn Infoblox in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Advanced DNS Protection Managed DNS Services Software by Infoblox See who's skilled in this Add as skill Learn more Report this product About Distributed denial of service (DDoS) and other external and internal DNS-based threats can flood your DNS server with malicious requests, bringing down your network. With Infoblox Advanced DNS Protection, you can comprehensively defend your DNS server from DNS attacks. Media Products media viewer No more previous content No more next content Similar products Cisco Umbrella Cisco Umbrella Secure Web Gateways Akamai Edge DNS Akamai Edge DNS Managed DNS Services Software Cloudflare DNS Cloudflare DNS Managed DNS Services Software Cloudflare Registrar Cloudflare Registrar Managed DNS Services Software Infoblox Core Network Services Infoblox Core Network Services Managed DNS Services Software DNSi Big Data Connector DNSi Big Data Connector Managed DNS Services Software Sign in to see more Show more Show less Infoblox products BloxOne® Threat Defense BloxOne® Threat Defense Endpoint Protection Systems Infoblox Core Network Services Infoblox Core Network Services Managed DNS Services Software LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/palmirasoftwarehouse-aris/?trk=products_seo_search | ARIS Process Management by Palmira | LinkedIn Skip to main content LinkedIn Palmira Software House in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in ARIS Process Management by Palmira Business Process Management Software by Palmira Software House See who's skilled in this Add as skill Learn more Report this product About Business process analysis your way! ARIS is available in different editions to fit the needs of your organization. Looking to start now with minimal investment? ARIS Elements is designed to kickstart your first process improvement project. ARIS Advanced is designed for those who have reached a level of maturity that requires customization and advanced user management. With ARIS Enterprise you can establish a full-scale enterprise BPA program using the complete ARIS capabilities stack. Media Products media viewer No more previous content ARIS Journey This is a sample of purchase journey in ARIS ARIS Process Mining ARIS helps you read your processes ARIS process modeling You can model your processes in ARIS using different notations, The picture shows the process flow in EPC diagram ARIS Customer Journey Model and analyse every touchpoint in your customer journey No more next content Similar products ServiceNow AI Platform ServiceNow AI Platform Business Process Management Software Amdocs TechInsights Amdocs TechInsights Business Process Management Software HCL Domino HCL Domino Business Process Management Software Skan AI Process Intelligence Platform Skan AI Process Intelligence Platform Business Process Management Software Business Cockpit Business Cockpit Business Process Management Software CaseXellence CaseXellence Business Process Management Software Sign in to see more Show more Show less Palmira Software House products ALFABET ALFABET IT Asset Management Software Cloudera Cloudera Big Data Processing & Distribution Software Liferay Liferay Digital Experience Platforms (DXP) MetrixPlus MetrixPlus Corporate Performance Management (CPM) Software OrgPlus OrgPlus Org Chart Software Palmira Professional Services on KNIME Software Palmira Professional Services on KNIME Software Data Science & Machine Learning Platforms SyncPlus SyncPlus Requirements Management Software webMethods webMethods Cloud Integration Software Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
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https://bit.ly/45FVNsR?trk=organization_guest_main-feed-card-text | DECA Events | Digital Economy Council of Australia Home Advocacy Submissions Working Groups Constitution Parliamentary Friends Debanking Who-Supports-Crypto About Us Members Join Us Membership Types Our Members Education DECA Resources Hub DECA Knowledge Centre Scam Awareness Downloadables News & Events News Events Industry Calendar Industry Awards Events 2026 February 10th & 11th Proactive Policy Forum A two-day national program in Canberra bringing industry and government together to shape evidence-based, commercially grounded and cohesive regulatory settings for Australia’s digital economy. View Details March 23rd – 25th Black Swan Summit – PERTH DECA is proud to partner with Black Swan Summit Australia 2026, connecting leaders in Quantum, AI, tokenisation and green infrastructure with industry, government, talent and capital to enable secure, human centred digital adoption. View Details April 9th Digital Intelligence Summit An online event bringing regulators, police, analytics firms and real consumer experiences together to strengthen scam awareness, explain current legal obligations and promote safer, more informed participation in digital assets. View Details April 23rd – 25th Money 2020 Bangkok delegation Join DECA’s Australian delegation to Money 20/20 Asia in Bangkok April 21-23, 2026, a unique opportunity to connect with leaders, innovators, and stakeholders from both Australia and Asia. View Details May 13th Parliamentary Friends of Blockchain This Parliamentary Friends of Blockchain event marks the launch of DECA’s Proactive Policy Paper, presenting industry-led recommendations to inform Australia’s digital asset regulation and economic policy agenda. View Details June 15th – 17th Digital Economy Conference Australia’s leading industry forum examining digital infrastructure, digital assets, AI and policy, connecting government and industry to drive economic growth, reform and national competitiveness. View Details August 2026 Global Digital Asset Regulatory Summit A one day summit examining global regulatory settings, comparing international approaches, and outlining how Australia can align with leading jurisdictions to ensure competitiveness, clarity and sustainable industry growth. View Details September 3rd Digital Trade Forum A forum bringing industry, government and technology leaders together to advance Australia’s shift to fully digital trade, exploring infrastructure, standards, payments, policy alignment and real world implementations. View Details November 18th – 20th Singapore Fintech Festival Designed to foster impactful connections and collaborations, SFF is a platform to explore the intersections of cutting-edge financial solutions, evolving regulatory landscapes, and the latest technological innovations. View Details November 2026 Annual General Meeting A review of the year’s achievements, confirmation of board appointments, discussions on strategic priorities, and an outline of DECA’s direction, ensuring continued momentum across advocacy, events and member engagement. November 27th The Blockies A black-tie celebration recognising excellence across Australia’s digital asset sector, honouring innovators, builders and leaders driving growth, integrity and progress in an industry now entering its most mature chapter. View Details 2025 The Blockies - November 28th, 2025 - Melbourne On November 28th, 2025, at Rydges Melbourne , the Blockies returns as Australia’s premier blockchain and digital asset industry awards, recognising leadership, innovation, and excellence across the digital asset and Web3 ecosystem. This prestigious event brings together the brightest minds in blockchain—pioneers, developers, entrepreneurs, and advocates shaping the future of the industry. From technical breakthroughs to regulatory leadership and community impact , the Blockies honours those driving progress in blockchain and digital assets. With an elegant award ceremony followed by an exclusive rooftop afterparty , this is more than just a celebration—it’s a night to connect, be inspired, and celebrate the industry together. Join us in recognising the visionaries and changemakers leading Australia’s blockchain and digital asset revolution. Be part of the celebration. Be part of the Blockies. 👉 Visit Blockies .com .au for more details. More Details DLT Enabled Online Summit - February 2025 The DLT Enabled Online Summit in February 2025, a globally significant event that brings together leading figures from pivotal sectors such as telecommunications, DLT infrastructure, payments, cloud computing, AI, digital assets, digital trade, security, and philanthropy. This all day summit will provide deep insights into how Distributed Ledger Technology is fundamentally reshaping the digital economy worldwide. Participants will discover strategic approaches and the latest advancements demonstrating DLT’s central role in enhancing global economic activities across the digital economy. More Details Delegation to Japan - March 2025 Tokyo • March 3–7, 2025 Be part of DECA’s Australian delegation to the Japan GFTN Forum, where you’ll have the opportunity to connect with industry leaders, Japanese organisations, regulators, and key stakeholders. This delegation offers unique networking opportunities and the chance to foster meaningful relationships while exploring the future of digital assets and financial innovation. More Details Proactive Policy Forum - March 2025 The Digital Economy Council of Australia Policy Forum is a full day event, driving proactive policy formation and preparing attendees for a regulated digital economy. Four specialised focus groups will come together to collaboratively craft targeted elements of a proactive policy submission, directly addressing crucial regulatory considerations from an industry perspective. Participants are invited to actively engage in open discussions, sharing ideas with industry peers, stakeholders, and policymakers, thus promoting a cooperative environment for policy development. The day’s agenda is strategically structured to result in the advancement of Australian digital asset regulation, empowering attendees to significantly influence industry standards and regulatory frameworks in advance of further consultations. The sessions will be recorded, transcribed and thoughtfully compiled into a proactive policy submission. More Details Digital Economy Conference - June 16-18th, 2025 - Gold Coast JW Marriott, Surfers Paradise • June 16-18th, 2025 Empowering Australia’s digital future through integrated technological innovation – providing secure, transparent and decentralised solutions. This event is set to be a landmark gathering of industry leaders, innovators, and stakeholders, all dedicated to advancing Australia’s digital economy through blockchain, Distributed Ledger Technology (DLT), and digital assets. 👉 Visit DEConference.com.au for more details. More details Global Regulatory Summit - September 2025 This Global Regulatory Summit gathers top-tier thought leaders, policymakers, industry experts, and innovators from across the globe to delve into the critical issues and opportunities facing the digital asset sector today. As digital assets continue to reshape the global financial ecosystem and cement their role in the global digital economy, understanding and navigating regulatory frameworks has never been more crucial. This summit is designed to provide attendees with cutting-edge insights and a comprehensive understanding of regulatory environments in various jurisdictions. More Details 2024 The Blockies - November 2024 Celebrate the achievements of those who have diligently, impactfully & enthusiastically committed to grow the Australian blockchain industry ecosystem. It’s also time for a party! More Details Digital Economy Council of Australia Policy Forum - February 2024 The Digital Economy Council of Australia Policy Forum was a dynamic two-day event, driving proactive policy formation and preparing attendees for a regulated digital economy. More Details Blockchain Week: The Digital Convergence - June 2024 The Digital Convergence Conference explores how foundational blockchain and Distributed Ledger Technology (DLT) drive the digital economy, intersecting with AI, IoT, and more to shape our digital future. More Details Blockchain Week REcap Global Digital Asset Regulatory Summit - August 2024 T he Global Digital Asset Regulatory Summit 2024, the premier international online event focused on the ever-evolving landscape of digital asset regulation. This summit gathers top-tier thought leaders, policymakers, industry experts, and innovators from across the globe to delve into the critical issues and opportunities facing the digital asset sector today. As digital assets continue to reshape the global financial ecosystem and cement their role in the global digital economy, understanding and navigating regulatory frameworks has never been more crucial. This summit is designed to provide attendees with cutting-edge insights and a comprehensive understanding of regulatory environments in various jurisdictions. More Details Read the recap 2023 Australian Blockchain Security Summit The Australian Blockchain Security Summit was a thought-provoking gathering of industry leaders and experts delving into the intricacies of blockchain and security. This premier event oddered attendees a valuable opportunity to stay abreast of the latest trends and developments in both blockchain and cyber security. With engaging discussions and expert insights on topics such as infrastructure, solutions, safeguarding against scams, harnessing the power of digital ID and records, ensuring the security and compliance of digital currency exchanges and custody solutions, and the role of regulation and auditing in maintaining compliance and best practices. More Details Industry Events Calendar The Australian Blockchain Industry events calendar offers a curated selection of events relating to blockchain, web3, and digital currencies. More Details Digital Economy Council of Australia c/o Valles Accountants L1, 452 Flinders Street Melbourne VIC 3000 Copyright © 2025 | All Rights Reserved Privacy Policy Terms & Conditions Constitution Scam Awareness Contact DE Conference The Blockies Subscribe to the Digital Economy Council of Australia Newsletter SUBSCRIBE Follow Follow Follow Follow | 2026-01-13T09:29:17 |
https://scholar.google.com/citations?user=t6uCsYoAAAAJ&hl=en | Neil Zhenqiang Gong - Google 학술 검색 로드 중... 현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요. 연간 인용횟수 중복된 서지정보 다음 학술 문서는 학술검색에서 병합되어 있습니다. 총 인용 횟수가 첫 번째 학술 문서에 대해서만 계산됩니다. 병합된 서지정보 이 '인용' 횟수는 학술검색의 다음 학술 문서에 대한 인용문을 포함합니다. * 표시된 인용문은 프로필에 있는 학술 문서와 다를 수 있습니다. 공동 저자 추가 공동 저자 팔로우 이 저자의 새 학술자료 이 저자를 인용한 새 학술자료 이 저자의 연구와 관련된 새 학술자료 업데이트를 받을 이메일 주소 완료 죄송합니다. 현재 Internet Explorer 버전에서는 일부 기능이 작동하지 않을 수 있습니다. 최적의 상태로 사용하려면 Chrome 또는 Mozilla Firefox 를 사용해 주세요. 내 프로필 내 서재 통계 알리미 설정 로그인 로그인 내 프로필 만들기 인용 모두 보기 전체 2021년 이후 서지정보 17392 14869 h-index 61 56 i10-index 129 124 0 6000 3000 1500 4500 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 83 119 149 184 276 362 457 796 1202 1641 2387 3969 5510 140 공개 액세스 모두 보기 모두 보기 자료 73개 자료 0개 공개 비공개 재정 지원 요구사항 기준 공동 저자 Jinyuan Jia Assistant Professor, Penn State psu.edu의 이메일 확인됨 Xiaoyu Cao PhD. Duke University duke.edu의 이메일 확인됨 Minghong Fang University of Louisville louisville.edu의 이메일 확인됨 Binghui Wang Assistant Professor, Illinois Institute of Technology iit.edu의 이메일 확인됨 Hongbin Liu Google Deepmind google.com의 이메일 확인됨 Yupei Liu Penn State psu.edu의 이메일 확인됨 Dawn Song Professor of Computer Science, UC Berkeley cs.berkeley.edu의 이메일 확인됨 Yuqi Jia Duke University duke.edu의 이메일 확인됨 Prateek Mittal Professor, Princeton University princeton.edu의 이메일 확인됨 Zhengyuan Jiang Duke University duke.edu의 이메일 확인됨 Yinzhi Cao Johns Hopkins University jhu.edu의 이메일 확인됨 Yuepeng Hu Duke University duke.edu의 이메일 확인됨 Jinghuai Zhang UCLA, ECE g.ucla.edu의 이메일 확인됨 Elaine Shi Carnegie Mellon University cs.cmu.edu의 이메일 확인됨 Xilong Wang Ph.D. student, Duke University duke.edu의 이메일 확인됨 Ninghui Li Professor of Computer Science, Purdue University cs.purdue.edu의 이메일 확인됨 Somesh Jha Lubar Chair of Computer Science, University of Wisconsin cs.wisc.edu의 이메일 확인됨 John C Mitchell Professor of Computer Science, Stanford University Stanford.edu의 이메일 확인됨 Mihai Christodorescu Google christodorescu.org의 이메일 확인됨 팔로우 Neil Zhenqiang Gong Associate Professor, Duke University duke.edu의 이메일 확인됨 - 홈페이지 Security AI Security/Safety Social Networks Security Generative AI 학술자료 인용 공개 액세스 공동 저자 제목 정렬 서지정보순 정렬 연도순 정렬 제목순 정렬 인용 인용 연도 Local Model Poisoning Attacks to Byzantine-Robust Federated Learning M Fang, X Cao, J Jia, NZ Gong USENIX Security Symposium , 2020 1923 2020 FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping X Cao, M Fang, J Liu, NZ Gong ISOC Network and Distributed System Security Symposium (NDSS) , 2021 1149 2021 Stealing Hyperparameters in Machine Learning B Wang, NZ Gong IEEE Symposium on Security and Privacy , 2018 714 2018 TrustLLM: Trustworthiness in Large Language Models L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ... International Conference on Machine Learning (ICML) , 2024 686 * 2024 MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples J Jia, A Salem, M Backes, Y Zhang, NZ Gong ACM Conference on Computer and Communications Security (CCS) , 2019 551 2019 PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts K Zhu, J Wang, J Zhou, Z Wang, H Chen, Y Wang, L Yang, W Ye, ... arXiv preprint arXiv:2306.04528 , 2023 466 * 2023 On the feasibility of internet-scale author identification A Narayanan, H Paskov, NZ Gong, J Bethencourt, E Stefanov, ECR Shin, ... IEEE Symposium on Security and Privacy , 2012 416 2012 FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients Z Zhang, X Cao, J Jia, NZ Gong ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) , 2022 407 2022 Joint link prediction and attribute inference using a social-attribute network NZ Gong, A Talwalkar, L Mackey, L Huang, ECR Shin, E Stefanov, ER Shi, ... ACM Transactions on Intelligent Systems and Technology (TIST) 5 (2), 27 , 2014 344 * 2014 Formalizing and Benchmarking Prompt Injection Attacks and Defenses Y Liu, Y Jia, R Geng, J Jia, NZ Gong USENIX Security Symposium , 2024 335 2024 Backdoor Attacks to Graph Neural Networks Z Zhang, J Jia, B Wang, NZ Gong ACM Symposium on Access Control Models and Technologies (SACMAT) , 2021 322 2021 Poisoning Attacks to Graph-Based Recommender Systems M Fang, G Yang, NZ Gong, J Liu Annual Computer Security Applications Conference (ACSAC) , 2018 293 2018 FLCert: Provably Secure Federated Learning against Poisoning Attacks X Cao, Z Zhang, J Jia, NZ Gong IEEE Transactions on Information Forensics and Security , 2022 292 * 2022 Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification X Cao, NZ Gong Annual Computer Security Applications Conference (ACSAC) , 2017 277 2017 Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+ NZ Gong, W Xu, L Huang, P Mittal, E Stefanov, V Sekar, D Song ACM Internet Measurement Conference (IMC) , 2012 276 2012 Badencoder: Backdoor attacks to pre-trained encoders in self-supervised learning J Jia, Y Liu, NZ Gong IEEE Symposium on Security and Privacy , 2022 272 2022 MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients X Cao, NZ Gong IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , 2022 259 2022 Stealing Links from Graph Neural Networks X He, J Jia, M Backes, NZ Gong, Y Zhang USENIX Security Symposium , 2021 257 2021 AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning J Jia, NZ Gong USENIX Security Symposium , 2018 253 2018 SybilBelief: A Semi-supervised Learning Approach for Structure-based Sybil Detection NZ Gong, M Frank, P Mittal IEEE Transactions on Information Forensics and Security 9 (6) , 2014 248 2014 현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요. 학술자료 1–20 더보기 개인정보처리방침 약관 도움말 학술검색 정보 검색 도움말 | 2026-01-13T09:29:17 |
http://people.duke.edu/~zg70/ | --> Neil Zhenqiang Gong's Webpage --> Home Research Publications People Teaching Service Code & Data Talks Neil Gong Associate Professor Department of Electrical and Computer Engineering Department of Computer Science (secondary appointment) Duke University Office: 413 Wilkinson Building Email: neil.gong@duke.edu Short Biography Neil Gong is an Associate Professor in the Department of Electrical and Computer Engineering, with a secondary appointment in the Department of Computer Science, at Duke University. His research interests lie in cybersecurity, with a recent focus on AI security and safety. He has received several honors, including the NSF CAREER Award, Army Research Office Young Investigator Program (YIP) Award, Rising Star Award from the Association of Chinese Scholars in Computing, IBM Faculty Award, Facebook Research Award, and Cisco Research Award. His work has also been recognized with multiple paper awards, including a Distinguished Paper Award at the IEEE Symposium on Security and Privacy and a Distinguished Paper Award Honorable Mention at the ISOC Network and Distributed System Security Symposium. He earned his Ph.D. in Computer Science from the University of California, Berkeley in 2015, and his B.E. from the University of Science and Technology of China in 2010 (with the highest honor). I'm looking for postdocs, Ph.D. students, master students, and undergraduate researchers. If you have interests, please contact me. | 2026-01-13T09:29:17 |
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https://www.linkedin.com/help/linkedin/answer/a521796?hcppcid=search | Benefits of Adding a Second Email Address to your Account | LinkedIn Help Attention screen reader users, you are in a mobile optimized view and content may not appear where you expect it to be. To return the screen to its desktop view, please maximize your browser. Skip to content Skip to search Close jump menu Help LinkedIn Help Dropdown menu, expand to explore help for other LinkedIn products Close menu Get help with: LinkedIn Corporate Billing Learning Marketing Solutions Recruiter Sales Navigator Talent Insights Go to LinkedIn Sign in Sign in Benefits of Adding a Second Email Address to your Account Last updated: 4 years ago Adding an additional email address can improve your ability to connect with your colleagues and others on LinkedIn. Most people choose to add a work email address and a personal email address to their account. There are various other benefits to having at least two email addresses associated with your account: It helps you to avoid being accidentally locked out of your account by providing a backup in case you lose access to your primary email address (for example, if you change jobs and lose access to your work email). We can only send a password reset link to confirmed email addresses on your account. It provides a channel for important communications, which can be particularly helpful for urgent situations such as security or fraud risks. If we detect any issues with your primary email address, we will instead consider your additional email address as your primary email address to send all your notifications, based on your notification settings . It can enable you to identify additional contacts to connect with on LinkedIn and make it easier for your colleagues and others to connect with you. If someone sends an invitation to an email address you haven't associated with your account, you could get an error message or accidentally create a second account when you try to accept. It can better personalize LinkedIn services, including advertising content. For example, when you share the same email address with another organization, that address (which is matched through a hash function to protect your privacy) may be used to include you in a relevant ad audience consisting of similarly matched members, subject to your preferences . Note : When you add an additional email address to your account, you'll also need to confirm it by signing in to your email account and following the prompts in the email to validate your new address. LinkedIn Contact us Select a language. The page will automatically refresh after a language has been selected. العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) LinkedIn Corporation © 2026 About Transparency Center Privacy and Terms Cookies Copyright Terms Privacy Guest controls Dismiss Privacy and Terms menu LinkedIn Corporation © 2026 | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/categories/workflow-management-software?trk=products_details_guest_similar_products_section_similar_products_section_product_link_result-card_subtitle-click | Best Workflow Management Software | Products | LinkedIn Skip to main content LinkedIn Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Clear text Used by Used by Project Manager (27) Operations Manager (22) Chief Information Officer (15) Software Engineer (15) Information Technology Manager (13) See all products Find top products in Workflow Management Software category Software used to generate and oversee standard sequences of tasks in a business process. - Customize standard workflow templates with low-code or code-free interfaces - Define dependencies and track progress with centralized dashboards - Automate repetitive tasks and receive due date reminders 432 results n8n Workflow Management Software by n8n n8n is a flexible workflow automation tool. 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https://scholar.google.com/citations?user=kD9uKC4AAAAJ&hl=en | Alex Fang - Google 학술 검색 로드 중... 현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요. 연간 인용횟수 중복된 서지정보 다음 학술 문서는 학술검색에서 병합되어 있습니다. 총 인용 횟수가 첫 번째 학술 문서에 대해서만 계산됩니다. 병합된 서지정보 이 '인용' 횟수는 학술검색의 다음 학술 문서에 대한 인용문을 포함합니다. * 표시된 인용문은 프로필에 있는 학술 문서와 다를 수 있습니다. 공동 저자 추가 공동 저자 팔로우 이 저자의 새 학술자료 이 저자를 인용한 새 학술자료 이 저자의 연구와 관련된 새 학술자료 업데이트를 받을 이메일 주소 완료 죄송합니다. 현재 Internet Explorer 버전에서는 일부 기능이 작동하지 않을 수 있습니다. 최적의 상태로 사용하려면 Chrome 또는 Mozilla Firefox 를 사용해 주세요. 내 프로필 내 서재 통계 알리미 설정 로그인 로그인 내 프로필 만들기 인용 전체 2021년 이후 서지정보 2013 1992 h-index 10 10 i10-index 10 10 0 920 460 230 690 2020 2021 2022 2023 2024 2025 2026 19 68 90 239 665 909 15 공개 액세스 모두 보기 모두 보기 자료 8개 자료 0개 공개 비공개 재정 지원 요구사항 기준 팔로우 Alex Fang Stanford University stanford.edu의 이메일 확인됨 machine learning 학술자료 인용 공개 액세스 제목 정렬 서지정보순 정렬 연도순 정렬 제목순 정렬 인용 인용 연도 Datacomp: In search of the next generation of multimodal datasets SY Gadre, G Ilharco, A Fang, J Hayase, G Smyrnis, T Nguyen, R Marten, ... Advances in Neural Information Processing Systems 36, 27092-27112 , 2023 684 2023 Data Filtering Networks A Fang, AM Jose, A Jain, L Schmidt, A Toshev, V Shankar arXiv preprint arXiv:2309.17425 , 2023 285 2023 Multimodal c4: An open, billion-scale corpus of images interleaved with text W Zhu, J Hessel, A Awadalla, SY Gadre, J Dodge, A Fang, Y Yu, ... Advances in Neural Information Processing Systems 36, 8958-8974 , 2023 235 2023 Evaluating machine accuracy on imagenet V Shankar, R Roelofs, H Mania, A Fang, B Recht, L Schmidt International Conference on Machine Learning, 8634-8644 , 2020 220 2020 Datacomp-lm: In search of the next generation of training sets for language models J Li, A Fang, G Smyrnis, M Ivgi, M Jordan, SY Gadre, H Bansal, E Guha, ... Advances in Neural Information Processing Systems 37, 14200-14282 , 2024 198 2024 Data determines distributional robustness in contrastive language image pre-training (clip) A Fang, G Ilharco, M Wortsman, Y Wan, V Shankar, A Dave, L Schmidt International Conference on Machine Learning, 6216-6234 , 2022 198 2022 Neural kernels without tangents V Shankar, A Fang, W Guo, S Fridovich-Keil, J Ragan-Kelley, L Schmidt, ... International Conference on Machine Learning, 8614-8623 , 2020 113 2020 Does progress on ImageNet transfer to real-world datasets? A Fang, S Kornblith, L Schmidt Advances in Neural Information Processing Systems 36, 25050-25080 , 2023 45 2023 Neural priming for sample-efficient adaptation M Wallingford, V Ramanujan, A Fang, A Kusupati, R Mottaghi, ... Advances in Neural Information Processing Systems 36, 65566-65584 , 2023 20 2023 Neural Radiance Field Codebooks M Wallingford, A Kusupati, A Fang, V Ramanujan, A Kembhavi, ... arXiv preprint arXiv:2301.04101 , 2023 11 2023 Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality A Fang, H Pouransari, M Jordan, A Toshev, V Shankar, L Schmidt, ... arXiv preprint arXiv:2503.07879 , 2025 4 2025 Reusing Pre-Training Data at Test Time is a Compute Multiplier A Fang, T Voice, R Pang, L Schmidt, T Gunter arXiv preprint arXiv:2511.04234 , 2025 2025 현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요. 학술자료 1–12 더보기 개인정보처리방침 약관 도움말 학술검색 정보 검색 도움말 | 2026-01-13T09:29:17 |
https://scholar.google.com/citations?user=84WzBlYAAAAJ&hl=ko&oe=ASCII | Dawn Song - Google 학술 검색 로드 중... 현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요. 연간 인용횟수 중복된 서지정보 다음 학술 문서는 학술검색에서 병합되어 있습니다. 총 인용 횟수가 첫 번째 학술 문서에 대해서만 계산됩니다. 병합된 서지정보 이 '인용' 횟수는 학술검색의 다음 학술 문서에 대한 인용문을 포함합니다. * 표시된 인용문은 프로필에 있는 학술 문서와 다를 수 있습니다. 공동 저자 추가 공동 저자 팔로우 이 저자의 새 학술자료 이 저자를 인용한 새 학술자료 이 저자의 연구와 관련된 새 학술자료 업데이트를 받을 이메일 주소 완료 죄송합니다. 현재 Internet Explorer 버전에서는 일부 기능이 작동하지 않을 수 있습니다. 최적의 상태로 사용하려면 Chrome 또는 Mozilla Firefox 를 사용해 주세요. 내 프로필 내 서재 통계 알리미 설정 로그인 로그인 내 프로필 만들기 인용 모두 보기 전체 2021년 이후 서지정보 150976 86180 h-index 164 114 i10-index 479 408 0 28000 14000 7000 21000 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 469 734 1354 1753 2132 2441 2388 2551 2847 3206 3911 4392 4667 4932 4858 5722 6538 8194 9769 11838 15189 21142 27496 622 공개 액세스 모두 보기 모두 보기 자료 111개 자료 0개 공개 비공개 재정 지원 요구사항 기준 팔로우 Dawn Song Professor of Computer Science, UC Berkeley cs.berkeley.edu의 이메일 확인됨 - 홈페이지 Computer Security and Privacy 학술자료 인용 공개 액세스 제목 정렬 서지정보순 정렬 연도순 정렬 제목순 정렬 인용 인용 연도 Advances and open problems in federated learning P Kairouz, HB McMahan Foundations and trends in machine learning 14 (1-2), 1-210 , 2021 9897 2021 Measuring massive multitask language understanding D Hendrycks, C Burns, S Basart, A Zou, M Mazeika, D Song, J Steinhardt arXiv preprint arXiv:2009.03300 , 2020 6838 2020 Practical techniques for searches on encrypted data DX Song, D Wagner, A Perrig Proceeding 2000 IEEE symposium on security and privacy. S&P 2000, 44-55 , 2000 5527 2000 Random key predistribution schemes for sensor networks H Chan, A Perrig, D Song 2003 Symposium on Security and Privacy, 2003., 197-213 , 2003 4474 2003 Provable data possession at untrusted stores G Ateniese, R Burns, R Curtmola, J Herring, L Kissner, Z Peterson, ... Proceedings of the 14th ACM conference on Computer and communications�… , 2007 4157 2007 Robust physical-world attacks on deep learning visual classification K Eykholt, I Evtimov, E Fernandes, B Li, A Rahmati, C Xiao, A Prakash, ... Proceedings of the IEEE conference on computer vision and pattern�… , 2018 3836 * 2018 Measuring mathematical problem solving with the math dataset D Hendrycks, C Burns, S Kadavath, A Arora, S Basart, E Tang, D Song, ... arXiv preprint arXiv:2103.03874 , 2021 3726 2021 Extracting training data from large language models N Carlini, F Tramer, E Wallace, M Jagielski, A Herbert-Voss, K Lee, ... 30th USENIX security symposium (USENIX Security 21), 2633-2650 , 2021 3235 2021 Targeted backdoor attacks on deep learning systems using data poisoning X Chen, C Liu, B Li, K Lu, D Song arXiv preprint arXiv:1712.05526 , 2017 2652 2017 The many faces of robustness: A critical analysis of out-of-distribution generalization D Hendrycks, S Basart, N Mu, S Kadavath, F Wang, E Dorundo, R Desai, ... Proceedings of the IEEE/CVF international conference on computer vision�… , 2021 2572 2021 Dynamic taint analysis for automatic detection, analysis, and signaturegeneration of exploits on commodity software. J Newsome, DX Song NDSS 5, 3-4 , 2005 2522 2005 Delving into transferable adversarial examples and black-box attacks Y Liu, X Chen, C Liu, D Song arXiv preprint arXiv:1611.02770 , 2016 2388 2016 Android permissions demystified AP Felt, E Chin, S Hanna, D Song, D Wagner Proceedings of the 18th ACM conference on Computer and communications�… , 2011 2222 2011 The sybil attack in sensor networks: analysis & defenses J Newsome, E Shi, D Song, A Perrig Proceedings of the 3rd international symposium on Information processing in�… , 2004 2214 2004 Natural adversarial examples D Hendrycks, K Zhao, S Basart, J Steinhardt, D Song Proceedings of the IEEE/CVF conference on computer vision and pattern�… , 2021 2207 2021 Model-contrastive federated learning Q Li, B He, D Song Proceedings of the IEEE/CVF conference on computer vision and pattern�… , 2021 1987 2021 On Scaling Decentralized Blockchains: (A Position Paper) K Croman, C Decker, I Eyal, AE Gencer, A Juels, A Kosba, A Miller, ... International conference on financial cryptography and data security, 106-125 , 2016 1947 2016 The secret sharer: Evaluating and testing unintended memorization in neural networks N Carlini, C Liu, � Erlingsson, J Kos, D Song 28th USENIX security symposium (USENIX security 19), 267-284 , 2019 1683 2019 Efficient authentication and signing of multicast streams over lossy channels A Perrig, R Canetti, JD Tygar, D Song Proceeding 2000 IEEE symposium on security and privacy. S&P 2000, 56-73 , 2000 1474 2000 Advanced and authenticated marking schemes for IP traceback DX Song, A Perrig Proceedings IEEE INFOCOM 2001. Conference on Computer Communications�… , 2001 1316 2001 현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요. 학술자료 1–20 더보기 개인정보처리방침 약관 도움말 학술검색 정보 검색 도움말 | 2026-01-13T09:29:17 |
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Visual Studio IDE Visual Studio for Mac Visual Studio Code To continue downloading, click here IDE de Visual Studio: IA para codificar depuración y pruebas 2025-12-08T11:35:53-08:00 IDE eficaz, más inteligente con inteligencia artificial Modo agente: ya disponible en GitHub Copilot Free Experimente la asistencia de codificación basada en inteligencia artificial que explica los problemas, coordina los pasos siguientes, aplica cambios e itera en los errores. Descargar Visual Studio Community Professional Enterprise Insiders Comience a usarlo gratis Productividad que impulsa la asistencia de inteligencia artificial Soluciones reales de inteligencia artificial con modo de agente Planee, compile, pruebe y corrija, todo desde un único símbolo del sistema. Describa sus necesidades en lenguaje natural, deje que Copilot haga el resto. Ejecute linters, pruebas y comandos sin salir de Visual Studio. 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Habilitar Copilot Free Vea GitHub Copilot en acción Nunca vuelva a escribir un mensaje de confirmación: gracias GitHub Copilot Edición de varios archivos para GitHub Copilot en Visual Studio Introducción a GitHub Copilot Free en Visual Studio Manténgase al día con todo lo Visual Studio Visite el centro de Visual Studio Desarrollar Depurar Pruebas Control de versiones Colaboración Nube Diseño Perfil Datos Copilot: programador de pares Acelere el desarrollo con sugerencias de finalización de código contextual para una sola línea o un fragmento de código completo. Use las ediciones de Copilot para la edición de varios archivos con revisión de código, vista previa en archivo y experiencia de reversión. Cómo usar Copilot para sugerencias de código Chatear para obtener ayuda con el código y las consultas Obtenga ayuda en tiempo real para sus consultas de codificación con GitHub Copilot Chat. 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https://www.linkedin.com/login?session_redirect=https%3A%2F%2Fwww%2Elinkedin%2Ecom%2Fcompany%2F320mediamatthewhussey&fromSignIn=true&trk=organization_guest_nav-header-signin | LinkedIn Login, Sign in | LinkedIn Sign in Sign in with Apple Sign in with a passkey By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . or Email or phone Password Show Forgot password? Keep me logged in Sign in We’ve emailed a one-time link to your primary email address Click on the link to sign in instantly to your LinkedIn account. If you don’t see the email in your inbox, check your spam folder. Resend email Back New to LinkedIn? Join now Agree & Join LinkedIn By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . LinkedIn © 2026 User Agreement Privacy Policy Community Guidelines Cookie Policy Copyright Policy Send Feedback Language العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) | 2026-01-13T09:29:17 |
https://www.linkedin.com/uas/login?session_redirect=%2Fproducts%2Finfoblox-advanced-dns-protection&trk=products_details_guest_primary_call_to_action | LinkedIn Login, Sign in | LinkedIn Sign in Sign in with Apple Sign in with a passkey By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . or Email or phone Password Show Forgot password? Keep me logged in Sign in We’ve emailed a one-time link to your primary email address Click on the link to sign in instantly to your LinkedIn account. If you don’t see the email in your inbox, check your spam folder. Resend email Back New to LinkedIn? Join now Agree & Join LinkedIn By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . LinkedIn © 2026 User Agreement Privacy Policy Community Guidelines Cookie Policy Copyright Policy Send Feedback Language العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/decisions/ | Decisions | LinkedIn Skip to main content LinkedIn Decisions in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Decisions Business Process Management Software by Decisions See who's skilled in this Add as skill Learn more Report this product About Decisions empowers people to automate everything and be free of inefficient, revenue-draining manual processes. Our no-code, rules-driven process automation platform enables both business and IT departments to unlock growth, increase profitability, and protect their brand. Media Products media viewer No more previous content Workflow Designer The Decisions flow designer allows creation of graphical models that are able to be executed. Flows can be started by user interaction (forms), on a schedule or based on an api call or event Statement Rules Statement rules can result in a a simple decision (true/false), trigger an action or return a value. Rules are designed in a step by step editor (without writing code). Form Designer The form designer is a graphical drag and drop tool that allows creation of forms in a WYSIWYG fashion. Forms can be laid out in a variety of layouts and can take advantage of CSS for styling. Forms can be dynamic with rules for control showing/hiding, custom validation rules, etc. Report Designer The report writer and page designer allow the creation of end user reports and dashboards that allow data to be viewed and acted on. This designer works on the basis of 'data sources' that enable the designer user to configure data access without writing sql. Reports can report on data that is in other sources, not only database stored data. No more next content Similar products ServiceNow AI Platform ServiceNow AI Platform Business Process Management Software Amdocs TechInsights Amdocs TechInsights Business Process Management Software HCL Domino HCL Domino Business Process Management Software Skan AI Process Intelligence Platform Skan AI Process Intelligence Platform Business Process Management Software Business Cockpit Business Cockpit Business Process Management Software CaseXellence CaseXellence Business Process Management Software Sign in to see more Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/uas/login?session_redirect=%2Fproducts%2Fzohocorp-zoho-campaigns%3FviewConnections%3Dtrue&trk=products_details_guest_face-pile-cta | LinkedIn Login, Sign in | LinkedIn Sign in Sign in with Apple Sign in with a passkey By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . or Email or phone Password Show Forgot password? Keep me logged in Sign in We’ve emailed a one-time link to your primary email address Click on the link to sign in instantly to your LinkedIn account. If you don’t see the email in your inbox, check your spam folder. Resend email Back New to LinkedIn? Join now Agree & Join LinkedIn By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . LinkedIn © 2026 User Agreement Privacy Policy Community Guidelines Cookie Policy Copyright Policy Send Feedback Language العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/larksuite-lark?similarProducts=true&trk=products_details_guest_similar_products_section_sign_in | Lark | LinkedIn Skip to main content LinkedIn Lark in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Lark Enterprise Social Networking Software by Lark See who's skilled in this Add as skill Learn more Report this product About Lark is a next-generation team productivity suite that boosts organizations' efficiency, creativity, and engagement. It seamlessly integrates Messenger, Docs, Calendar, Video calls, Emails, OKR, and more into one easy-to-use app. This product is intended for Chief Technology Officer Founder Start-up Owner Human Resources Director Director of Operations Teacher Marketing Director Sales Director Project Manager Information Technology Manager Media Products media viewer No more previous content Lark | Business Collaboration Tool | Demo Lark collaboration and productivity suite. We believe your work is shaped by the tools you use. Lark integrates messaging, video conferencing, schedule management, collaborative documents, cloud storage, email, and workflow applications to provide a seamless collaboration experience on all your devices. Check out all of Lark's great features! See more videos: https://www.youtube.com/@Larksuite Get more done in chats Connect with teams and take action instantly. Teams, tools, and context are all in one chat feed. Turn meetings into true collaborative experiences Powerful in-call doc sharing, smart meeting minutes, and mobile-optimized features allow you to get more done together from anywhere, anytime. Make your own customized apps. No code needed. Build tools and workflows that adapt to any need of any team. From a store inspection system for frontline employees, to a dashboard for sales, a timeline for project managers, and many more. A central hub for all your approvals Submit and process all types of approvals on a single platform. Actionable approval center for making fast business decisions. Approve requests with one click, even on the go. No more next content Featured customers of Lark Haidilao Restaurants 5,600 followers Paradise Group Community Services 595 followers 极兔速递 Transportation, Logistics, Supply Chain and Storage 21,807 followers Glints Human Resources Services 340,245 followers Xiaomi Technology Software Development 1,538,383 followers MR DIY Malaysia Retail 65,378 followers PT. Matahari Putra Prima Tbk Retail 5,852 followers Tanamera Coffee Indonesia Food & Beverages 5,513 followers GoTo Group Software Development 1,033,613 followers StoreHub Technology, Information and Internet 45,216 followers TikTok Entertainment Providers 4,008,209 followers ByteDance Software Development 1,367,695 followers Seven Retail Consumer Services 57,428 followers ZUS COFFEE Food and Beverage Services 72,272 followers Carro Technology, Information and Internet 32,322 followers AEON MALL Retail 7,364 followers Marrybrown Food & Beverages 3,083 followers IJOOZ IT Services and IT Consulting 1,157 followers POP MART Entertainment Providers 194,964 followers Secret Recipe Cakes & Cafe Sdn Bhd Restaurants 5,158 followers Traveloka Software Development 613,052 followers Show more Show less Similar products HCL Connections HCL Connections Enterprise Social Networking Software Circle Circle Enterprise Social Networking Software Mighty Networks Mighty Networks Enterprise Social Networking Software Meta for Work Meta for Work Enterprise Social Networking Software Krishify Business Suite Krishify Business Suite Enterprise Social Networking Software Network Network Enterprise Social Networking Software Sign in to see more Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/cybereason-enterprise/#main-content | Cybereason | LinkedIn Skip to main content LinkedIn Cybereason in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Cybereason Endpoint Detection & Response (EDR) Software by Cybereason See who's skilled in this Add as skill Learn more Report this product About Cybereason unites with defenders to reverse the adversary advantage. Using one agent, one console, and one team to defend all endpoints, the Cybereason Defense Platform was designed to expose and intercept every Malop (malicious operation). A Malop is not an alert, but a contextualized view of the full narrative of an attack. Only Cybereason provides the actionable intelligence to outthink the adversary, the remediation speed to outpace their operations, and the insights to outthink attackers to end any attack. Media Products media viewer No more previous content - - - - No more next content Similar products HCL BigFix HCL BigFix Endpoint Detection & Response (EDR) Software Microsoft Defender XDR Microsoft Defender XDR Endpoint Detection & Response (EDR) Software OpenText Security & Protection Cloud OpenText Security & Protection Cloud Endpoint Protection Systems Free OpenEDR (Open Source Endpoint Detection and Response) Free OpenEDR (Open Source Endpoint Detection and Response) Endpoint Detection & Response (EDR) Software Kaspersky Next Kaspersky Next Endpoint Detection & Response (EDR) Software IBM Security QRadar EDR IBM Security QRadar EDR Endpoint Detection & Response (EDR) Software Sign in to see more Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/categories/customer-relationship-management-software?trk=products_details_guest_other_products_by_org_section_product_link_result-card_subtitle-click#main-content | Best Customer Relationship Management (CRM) Software | Products | LinkedIn Skip to main content LinkedIn Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Clear text Used by Used by Sales Manager (196) Salesperson (149) Sales Specialist (108) Chief Executive Officer (87) Marketing Specialist (85) See all products Find top products in Customer Relationship Management (CRM) Software category Software used to oversee company interaction with current and potential clients. - Manage relationships with customers and improve customer retention - Use a set of sales-related functions and drive sales growth - Compile data from different channels to a single record system 1535 results Sales Cloud Customer Relationship Management (CRM) Software by Salesforce Accelerate growth with your Humans + AI dream team. Ready to elevate every step of your sales cycle, from pipeline to paycheck? Scale your team with AI agents, equip your human sellers with the data and insights they need to win, and drive operational efficiency—all on Sales Cloud, the #1 agentic sales software platform. View product Zoho CRM Customer Relationship Management (CRM) Software by Zoho Zoho CRM is an online customer relationship management software for managing your sales, marketing, support in a single system. Zoho CRM helps businesses of all sizes build excellent customer relationships, with features like an inbuilt AI sales assistant, sales pipeline management, marketing automation, analytics, and more. Zoho CRM empowers a global network of over 150,000 businesses in 180 countries to convert more leads, engage with customers, and grow their revenue. View product Bigin by Zoho CRM Customer Relationship Management (CRM) Software by Zoho Bigin by Zoho CRM is a simplified customer relationship management (CRM) software designed specifically for small businesses, startups and teams! Trusted by 20,000+ businesses, Bigin helps small businesses unify all customer-facing operations— marketing, sales, onboarding, delivery, and support and manage customer relationships effectively. View product Experian DataShare Customer Relationship Management (CRM) Software by Experian Experian DataShare will accelerate new client onboarding and help increase retention through a simplified user experience. The platform integrates with over 100 versions of cloud and on-premise packages to deliver unparalleled accounting connectivity, flexible platform deployment, and instant audit or credit intelligence. It supports 100% of desktop and online accounting packages... including document uploading. Clients get faster decisions and have technical support if they experience any issues during their onboarding journey. Experian DataShare creates a digital pathway that removes the friction associated with the document gathering process. Start your digital journey to collect, format and interpret your client financials today! View product Odoo CRM Customer Relationship Management (CRM) Software by Odoo With over 5 million users, Odoo is the #1 open-source CRM software in the world! Sales teams can easily keep track of top leads and opportunities with just a few clicks. Users can personalize their sales cycle, take control of their statistics/forecasts, and create incredible marketing campaign automation to increase their overall sales performance. With Odoo CRM, sales teams are able to analyze the quality of their leads, make faster decisions, and save valuable time by integrating emails from all contacts directly into this fully-integrated app. View product Find products trusted by professionals in your network See which products are used by connections in your network and those that share similar job titles Sign in to view full insights Freshsales Customer Relationship Management (CRM) Software by Freshworks Freshsales provides a context-driven CRM solution for businesses of all sizes. We do this by taking a fresh approach to building and delivering an AI-driven and cost-effective omnichannel software—empowering sales teams to engage, nurture, and create delighted customers, to drive clear business results. View product Clickup Customer Relationship Management (CRM) Software by ClickUp Save time with the all-in-one productivity platform that brings teams, tasks, and tools together in one place. View product Infor CRM Customer Relationship Management (CRM) Software by Infor Infor CRM software provides a view of every customer touch point across an organization’s sales, marketing, customer service, and support teams. View product Pega Platform Customer Relationship Management (CRM) Software by Pegasystems Pega Platform helps improve business operation by enhancing employee productivity and delivering rapid, personalized service to customers. With enterprise-grade AI, automation, and low code for all users across an organization, Pega Platform enables you to respond to business needs in real time, scale quickly, and evolve as your needs change. Get work done while reducing costs and manual work across your business operations with Pega’s low-code platform for AI-powered decision and workflow automation. View product Zendesk Sell Customer Relationship Management (CRM) Software by Zendesk Zendesk Sell is a modern sales CRM to help you accelerate revenue. It’s a sales tool that’s quick to set up, intuitive, and easy to love. View product See more How it works Explore Discover the best product for your need from a growing catalog of 25,000 products and categories trusted by LinkedIn professionals Learn Evaluate new tools, explore trending products in your industry and see who in your network is skilled in the product Grow Join communities of product users to learn best practices, celebrate your progress and accelerate your career LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/uas/login?session_redirect=%2Fservices%2Fproducts%2Fdataport-a%25C3%25B6r-ddatabox%2F&fromSignIn=true&trk=products_details_guest_nav-header-signin | LinkedIn Login, Sign in | LinkedIn Sign in Sign in with Apple Sign in with a passkey By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . or Email or phone Password Show Forgot password? Keep me logged in Sign in We’ve emailed a one-time link to your primary email address Click on the link to sign in instantly to your LinkedIn account. If you don’t see the email in your inbox, check your spam folder. Resend email Back New to LinkedIn? Join now Agree & Join LinkedIn By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . LinkedIn © 2026 User Agreement Privacy Policy Community Guidelines Cookie Policy Copyright Policy Send Feedback Language العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/larksuite-lark/#main-content | Lark | LinkedIn Skip to main content LinkedIn Lark in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Lark Enterprise Social Networking Software by Lark See who's skilled in this Add as skill Learn more Report this product About Lark is a next-generation team productivity suite that boosts organizations' efficiency, creativity, and engagement. It seamlessly integrates Messenger, Docs, Calendar, Video calls, Emails, OKR, and more into one easy-to-use app. This product is intended for Chief Technology Officer Founder Start-up Owner Human Resources Director Director of Operations Teacher Marketing Director Sales Director Project Manager Information Technology Manager Media Products media viewer No more previous content Lark | Business Collaboration Tool | Demo Lark collaboration and productivity suite. We believe your work is shaped by the tools you use. Lark integrates messaging, video conferencing, schedule management, collaborative documents, cloud storage, email, and workflow applications to provide a seamless collaboration experience on all your devices. Check out all of Lark's great features! See more videos: https://www.youtube.com/@Larksuite Get more done in chats Connect with teams and take action instantly. Teams, tools, and context are all in one chat feed. Turn meetings into true collaborative experiences Powerful in-call doc sharing, smart meeting minutes, and mobile-optimized features allow you to get more done together from anywhere, anytime. Make your own customized apps. No code needed. Build tools and workflows that adapt to any need of any team. From a store inspection system for frontline employees, to a dashboard for sales, a timeline for project managers, and many more. A central hub for all your approvals Submit and process all types of approvals on a single platform. Actionable approval center for making fast business decisions. Approve requests with one click, even on the go. No more next content Featured customers of Lark Haidilao Restaurants 5,600 followers Paradise Group Community Services 595 followers 极兔速递 Transportation, Logistics, Supply Chain and Storage 21,807 followers Glints Human Resources Services 340,246 followers Xiaomi Technology Software Development 1,538,383 followers MR DIY Malaysia Retail 65,378 followers PT. Matahari Putra Prima Tbk Retail 5,852 followers Tanamera Coffee Indonesia Food & Beverages 5,513 followers GoTo Group Software Development 1,033,613 followers StoreHub Technology, Information and Internet 45,216 followers TikTok Entertainment Providers 4,008,209 followers ByteDance Software Development 1,367,696 followers Seven Retail Consumer Services 57,428 followers ZUS COFFEE Food and Beverage Services 72,272 followers Carro Technology, Information and Internet 32,322 followers AEON MALL Retail 7,364 followers Marrybrown Food & Beverages 3,083 followers IJOOZ IT Services and IT Consulting 1,157 followers POP MART Entertainment Providers 194,964 followers Secret Recipe Cakes & Cafe Sdn Bhd Restaurants 5,158 followers Traveloka Software Development 613,052 followers Show more Show less Similar products HCL Connections HCL Connections Enterprise Social Networking Software Circle Circle Enterprise Social Networking Software Mighty Networks Mighty Networks Enterprise Social Networking Software Meta for Work Meta for Work Enterprise Social Networking Software Krishify Business Suite Krishify Business Suite Enterprise Social Networking Software Network Network Enterprise Social Networking Software Sign in to see more Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
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https://www.linkedin.com/products/hclsoftware-hcl-connections/?trk=products_details_guest_similar_products_section_similar_products_section_product_link_result-card_full-click#main-content | HCL Connections | LinkedIn Skip to main content LinkedIn HCLSoftware in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in HCL Connections Enterprise Social Networking Software by HCLSoftware See who's skilled in this Add as skill Learn more Report this product About HCL Connections is a collaborative platform that keeps your employees connected and engaged. Connections helps create a personalized, well-designed, digital office with role-based content and tools to keep your teams focused on achieving business goals and objectives. With more people working remotely, it’s more important than ever to provide collaborative tools that create communities and support employees — the true drivers of the business. This product is intended for Information Technology Consultant Director of Information Technology Senior Business System Analyst Principal Architect Business System Consultant Head Business System Business System Lead Lead Application Architect Business System Project Manager Senior Lotus Notes Administrator Similar products Circle Circle Enterprise Social Networking Software Mighty Networks Mighty Networks Enterprise Social Networking Software Lark Lark Enterprise Social Networking Software Meta for Work Meta for Work Enterprise Social Networking Software Krishify Business Suite Krishify Business Suite Enterprise Social Networking Software Network Network Enterprise Social Networking Software Sign in to see more Show more Show less HCLSoftware products HCL BigFix HCL BigFix Endpoint Detection & Response (EDR) Software HCL Commerce+ HCL Commerce+ E-Commerce Platforms HCL Digital Experience HCL Digital Experience Digital Experience Platforms (DXP) HCL Domino HCL Domino Business Process Management Software HCL Mainframe Solutions HCL Mainframe Solutions Mainframe Management Software HCL Sametime HCL Sametime Employee Communications Software HCL Software DevOps HCL Software DevOps DevOps Software HCL Unica HCL Unica Marketing Automation Software HCL Volt MX HCL Volt MX Low-Code Development Platforms Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/categories/help-desk-software | Best Help Desk Software | Products | LinkedIn Skip to main content LinkedIn Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Clear text Used by Used by Customer Service Representative (25) Customer Service Specialist (23) Customer Support Specialist (22) Customer Service Manager (15) Help Desk Specialist (12) See all products Find top products in Help Desk Software category Software used to provide customers with information about a company's products or services. - Receive inquiries through channels such as email, phone, text, or social media - Organize ticketing system for support assignments and timely response - Provide self-service through site portals and features like auto messaging and virtual assistants 214 results Service Cloud Help Desk Software by Salesforce Cut service costs with humans & AI agents on one platform. Deliver seamless support across every channel and industry with Service Cloud, the complete service platform powered by humans, AI agents, and trusted data. Let AI handle routine tasks and help human reps with complex ones to boost productivity and CSAT. View product Zoho Desk Help Desk Software by Zoho Zoho Desk is context-aware help desk software that helps businesses of all sizes provide proactive and well informed customer support. Combine effective ticket management with easy collaboration tools, granular metric reports, powerful automation, robust self-service, sentiment analysis, and much more to boost agent productivity and deliver positive customer experiences. Over 40,000 businesses globally trust Zoho Desk to enable them to deliver exceptional service and create loyal customers. View product Freshdesk Help Desk Software by Freshworks Freshdesk is an intuitive and cost-effective customer helpdesk software built for B2B companies that help businesses delight their customers effortlessly. Our solution helps you provide highly personalized service by proactively anticipating customer needs to solve customer inquiries faster. With our robust ticketing platform, you can delight your customers effortlessly while keeping your agents happy. View product Freshdesk Omni Help Desk Software by Freshworks Freshdesk Omni provides a seamless experience across channels, from automated self-service to agent-led conversational support, plus advanced ticketing management for issues that require collaboration across teams, all powered by Freddy AI View product Zendesk Suite Help Desk Software by Zendesk Your complete solution for ticketing, messaging, help center, voice, and powerful AI. Deliver conversational experiences across any channel with a complete service solution that is easy to use, and powerful at scale. View product Find products trusted by professionals in your network See which products are used by connections in your network and those that share similar job titles Sign in to view full insights Zendesk for Employee Experience Help Desk Software by Zendesk Zendesk for Employee Experience empowers HR and IT leaders to provide the smart, flexible internal service experiences that they need to unlock their employees’ potential & transform their business. View product Hiver Help Desk Software by Hiver Hiver brings all your customer communications, applications, and insights into one intuitive platform, empowering teams to deliver exceptional support with ease. View product Front Help Desk Software by Front Front is the modern CX platform for customer-first businesses. View product Help Scout Help Desk Software by Help Scout The only customer service platform growing businesses need to deliver great customer experience. Trusted by over 12,000 businesses in 140 countries. Get started for free. View product BoldDesk Help Desk Software by Syncfusion BoldDesk is cloud-based, modern ticketing software for managing support email, collaborating with teammates, automating repetitive tasks, and improving customer experience. View product See more How it works Explore Discover the best product for your need from a growing catalog of 25,000 products and categories trusted by LinkedIn professionals Learn Evaluate new tools, explore trending products in your industry and see who in your network is skilled in the product Grow Join communities of product users to learn best practices, celebrate your progress and accelerate your career LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/categories/endpoint-detection-and-response-software?trk=products_details_guest_similar_products_section_similar_products_section_product_link_result-card_subtitle-click#main-content | Best Endpoint Detection &amp; Response (EDR) Software | Products | LinkedIn Skip to main content LinkedIn Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Clear text Used by Used by Chief Information Security Officer (30) Cyber Security Specialist (19) Information Technology Manager (18) Director of Information Technology (13) Information Technology Specialist (13) See all products Find top products in Endpoint Detection & Response (EDR) Software category Software used to detect and prevent suspicious activity on endpoints. - Collect data to establish a normal baseline of endpoint activity - Use analytics to surface and flag potential attacks and malware in real time - Investigate, evaluate, and respond to flagged incidents - Automate incident responses and prevent similar future attacks 128 results HCL BigFix Endpoint Detection & Response (EDR) Software by HCLSoftware HCL BigFix is the only endpoint management platform that enables IT Operations and Security teams to fully automate discovery, management and remediation – whether its on-premise, virtual, or cloud – regardless of operating system, location or connectivity. View product Microsoft Defender XDR Endpoint Detection & Response (EDR) Software by Microsoft Security Microsoft Defender XDR (formerly Microsoft 365 Defender) is the industry-leading cross-domain extended detection and response platform. It delivers unified investigation and response experience and provides native protection across endpoints, IoT devices, identities, email and collaboration tools, SaaS apps, cloud workloads and data with centralized visibility, powerful analytics, and automatic attack disruption. As the broadest native XDR, gain comprehensive detection & response across your most critical workloads in a single view. Benefit from its game-changing capability, automatic attack disruption, which detects and disrupts advanced attacks (i.e. ransomware, business email compromise) in real time to stop the progression and limit the impact to an organization. continuity. View product OpenText Security & Protection Cloud Endpoint Protection Systems by OpenText Protect critical information at scale. Get peace of mind with award-winning solutions to maintain business security and continuity to better manage cyber threat, data loss and endpoint protection, forensic investigation and remediation. View product Free OpenEDR (Open Source Endpoint Detection and Response) Endpoint Detection & Response (EDR) Software by Hacker Combat™ Unleash The Power Of Open-Source Security With Our Free Open EDR! Deploy Our Free OpenEDR To: Enable continuous and comprehensive endpoint monitoring, Correlate and visualize endpoint security data, Perform malware analysis, anomalous behavior tracking, and in-depth attack investigations, Enact remediations and harden security postures to reduce risk on endpoints, Stop attempted attacks, lateral movement, and breaches. Don’t let cyber threats put your business at risk. Try our free Open Source EDR today and experience the difference for yourself. Sign up now and start protecting your network from cyber threats! Sign up now and join the thousands of satisfied users who have switched to open-source endpoint security! View product Cybereason Endpoint Detection & Response (EDR) Software by Cybereason Cybereason unites with defenders to reverse the adversary advantage. Using one agent, one console, and one team to defend all endpoints, the Cybereason Defense Platform was designed to expose and intercept every Malop (malicious operation). A Malop is not an alert, but a contextualized view of the full narrative of an attack. Only Cybereason provides the actionable intelligence to outthink the adversary, the remediation speed to outpace their operations, and the insights to outthink attackers to end any attack. View product Find products trusted by professionals in your network See which products are used by connections in your network and those that share similar job titles Sign in to view full insights Kaspersky Next Endpoint Detection & Response (EDR) Software by Kaspersky Discover Kaspersky Next, our next-generation product line built to protect against the onslaught of today’s sophisticated and emerging cyber threats. Whether you need powerful endpoint protection, essential EDR technology, or are ready to delve into XDR, Kaspersky Next’s adaptable and robust cloud-native protection is just a few clicks away. View product IBM Security QRadar EDR Endpoint Detection & Response (EDR) Software by IBM Security IBM Security QRadar EDR remediates known and unknown endpoint threats in near real-time with easy-to-use intelligent automation that requires little-to-no human interaction. The software helps security teams make quick and informed decisions with attack visualization storyboards and automated alert management to focus on the threats that matter. Additionally, the advanced continuous learning AI capabilities and user-friendly interface put security staff back in control and help to safeguard business continuity. Product Benefits: 🔒 Get a clear line of sight 🔒 Automate your response 🔒 Move from reactive to proactive View product Group-IB Managed XDR Endpoint Detection & Response (EDR) Software by Group-IB XDR solutions were designed to leverage both the increasing number of telemetry sources and the ever-evolving ML algorithms, providing superior detection and response capabilities. Empowered with network traffic analysis, malware detonation, threat intelligence, and ML models for event correlation, Group-IB Managed XDR works seamlessly across networks, endpoints, and clouds. This integrated approach makes your security operations more effective than a siloed solution involving multiple discrete products. View product Wazuh XDR Endpoint Detection & Response (EDR) Software by Wazuh Wazuh is a free, open-source security platform that provides unified XDR and SIEM protection for endpoints and cloud workloads. It addresses essential cybersecurity needs such as threat hunting, incident response, compliance, and cloud security, with a wide range of use cases. As a 100% free and open-source platform, Wazuh provides: - Transparency: Full visibility into its code, fostering trust in security practices. - Flexibility: Customizable to meet organizational requirements, ensuring smooth integration. - Community: Powered by an active user and developer community that constantly collaborates to keep the platform updated and resilient against new cybersecurity challenges. Join our community and experience the power of open-source security. Wazuh – The Open Source Security Platform. View product Sangfor Endpoint Secure Endpoint Detection & Response (EDR) Software by Sangfor Technologies Sangfor Endpoint Secure is a comprehensive modern enterprise-level endpoint protection platform (EPP) that can block and kill any ransomware within three seconds. A certified Top Product in AV-Test evaluation, Sangfor Endpoint Secure is the only endpoint solution that can restore data from a ransomware breach using real-time file backup and snapshot recovery. It provides protection across the entire malware attack chain with improved visibility while seamlessly integrating with Network Secure (Next Generation Firewall) and Cyber Command (Network Detection and Response (NDR) solution) for improved detection and response (XDDR). Using static AI-based detection and dynamic AI-based behavioral detection, Sangfor Endpoint Secure offers the best-in-class ransomware protection to enterprises. In conclusion, Sangfor Endpoint Secure provides holistic endpoint protection, with ease of management, operation, and maintenance. View product See more How it works Explore Discover the best product for your need from a growing catalog of 25,000 products and categories trusted by LinkedIn professionals Learn Evaluate new tools, explore trending products in your industry and see who in your network is skilled in the product Grow Join communities of product users to learn best practices, celebrate your progress and accelerate your career LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/kaspersky-digital-footprint-intelligence/ | Kaspersky Digital Footprint Intelligence | LinkedIn Skip to main content LinkedIn Kaspersky in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Kaspersky Digital Footprint Intelligence Digital Forensics Software by Kaspersky See who's skilled in this Add as skill Learn more Report this product About Kaspersky Digital Footprint Intelligence is a comprehensive digital risk protection service that helps customers monitor their digital assets and detect threats from the surface, deep, and dark webs. Media Products media viewer No more previous content Kaspersky Digital Footprint Intelligence In the world of cyber threats, Kaspersky Digital Footprint Intelligence service stands tall as your cybersecurity ally. Specializing in dark web monitoring and various types of leak discovery, we pinpoint threats that could jeopardize your business. Our experts configure monitoring systems, swiftly detect compromised credentials, and proactively secure your accounts, ensuring business continuity and safeguarding your reputation. Check your company’s safety: https://kas.pr/dxy7 No more next content Similar products Argus Argus Digital Forensics Software Regula Forensic Studio Regula Forensic Studio Digital Forensics Software Oxygen Forensic® Detective Oxygen Forensic® Detective Digital Forensics Software Oxygen Remote Explorer Oxygen Remote Explorer Digital Forensics Software Odyssey Odyssey Digital Forensics Software MOBILedit Forensic MOBILedit Forensic Digital Forensics Software Sign in to see more Show more Show less Kaspersky products Kaspersky Container Security Kaspersky Container Security Container Security Software Kaspersky Industrial Cybersecurity Kaspersky Industrial Cybersecurity Enterprise Architecture Software Kaspersky Next Kaspersky Next Endpoint Detection & Response (EDR) Software Kaspersky Password Manager Kaspersky Password Manager Password Management Software Kaspersky Premium Kaspersky Premium Antivirus Software Kaspersky Safe Kids Kaspersky Safe Kids Antivirus Software Kaspersky Threat Intelligence Kaspersky Threat Intelligence Threat Intelligence Platforms Kaspersky VPN Kaspersky VPN Virtual Private Network (VPN) Software KasperskyOS KasperskyOS Operating Systems Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/infoblox-bloxone%C2%AE-threat-defense/?trk=products_details_guest_other_products_by_org_section_product_link_result-card_image-click | BloxOne® Threat Defense | LinkedIn Skip to main content LinkedIn Infoblox in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in BloxOne® Threat Defense Endpoint Protection Systems by Infoblox See who's skilled in this Add as skill Learn more Report this product About Infoblox BloxOne™ Threat Defense protects users, devices, and systems no matter where they are to strengthen and optimize their security postures from the foundation up. BloxOne Threat Defense is cloud-native and protects your brand by securing your existing networks and digital transformation activities, including SD-WAN, IoT, and cloud adoption. BloxOne Threat Defense also coordinates threat intelligence across the security stack, automates investigation and response activities, and otherwise uplifts the security ecosystem and Security Operations to improve cybersecurity while lowering the total cost of defense. This product is intended for Security Architect Security Professional Security Officer Security Operations Specialist Security Operations Center Architect Security Operations Manager Chief Information Security Officer Solutions Architect Media Products media viewer No more previous content Protect Your Users, Devices & Network Amid COVID-19 and Beyond with Infoblox BloxOne Threat Defense No more next content Featured customers of BloxOne® Threat Defense Aflac Insurance 168,984 followers Keio Corporation 14 followers Rabobank Banking 491,449 followers Queen's University Belfast Higher Education 197,088 followers Detailresult Retail 9,639 followers HARTMANN GROUP Medical Equipment Manufacturing 114,545 followers King Fahad Medical City - KFMC Hospitals and Health Care 211,428 followers Eagleview Software Development 61,465 followers Abu Dhabi City Municipality Government Administration 118,641 followers City University of Seattle Higher Education 36,704 followers MORGAN SCHOOL DISTRICT Primary and Secondary Education 29 followers Vitens Utilities 24,170 followers Show more Show less Similar products HP Wolf Security HP Wolf Security Endpoint Protection Systems Cortex Platform Cortex Platform Endpoint Protection Systems Citrix Endpoint Management Citrix Endpoint Management Endpoint Protection Systems OpenText Security & Protection Cloud OpenText Security & Protection Cloud Endpoint Protection Systems ThreatLocker ThreatLocker Endpoint Protection Systems Bitdefender GravityZone Business Security Premium Bitdefender GravityZone Business Security Premium Endpoint Protection Systems Sign in to see more Show more Show less Infoblox products Advanced DNS Protection Advanced DNS Protection Managed DNS Services Software Infoblox Core Network Services Infoblox Core Network Services Managed DNS Services Software LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/hacker-combat-cybersecurity-community-openedr-open-source-endpoint-detection-and-response/?trk=products_details_guest_similar_products_section_similar_products_section_product_link_result-card_full-click | Free OpenEDR (Open Source Endpoint Detection and Response) | LinkedIn Skip to main content LinkedIn Hacker Combat™ in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Free OpenEDR (Open Source Endpoint Detection and Response) Endpoint Detection & Response (EDR) Software by Hacker Combat™ See who's skilled in this Add as skill Get started Report this product About Unleash The Power Of Open-Source Security With Our Free Open EDR! Deploy Our Free OpenEDR To: Enable continuous and comprehensive endpoint monitoring, Correlate and visualize endpoint security data, Perform malware analysis, anomalous behavior tracking, and in-depth attack investigations, Enact remediations and harden security postures to reduce risk on endpoints, Stop attempted attacks, lateral movement, and breaches. Don’t let cyber threats put your business at risk. Try our free Open Source EDR today and experience the difference for yourself. Sign up now and start protecting your network from cyber threats! Sign up now and join the thousands of satisfied users who have switched to open-source endpoint security! Media Products media viewer No more previous content Unleash The Power Of Open-Source Security With Our Free Open EDR! Our Free OpenEDR is designed to give you the peace of mind to protect your business from cyber threats. With its powerful threat detection and response capabilities, you can rest assured that your network is secure from even the most advanced attacks. With our FREE Open Source EDR, you can benefit from the advantages and features of open-source technology, such as cost-effectiveness, flexibility, and transparency. No more next content Similar products HCL BigFix HCL BigFix Endpoint Detection & Response (EDR) Software Microsoft Defender XDR Microsoft Defender XDR Endpoint Detection & Response (EDR) Software OpenText Security & Protection Cloud OpenText Security & Protection Cloud Endpoint Protection Systems Cybereason Cybereason Endpoint Detection & Response (EDR) Software Kaspersky Next Kaspersky Next Endpoint Detection & Response (EDR) Software IBM Security QRadar EDR IBM Security QRadar EDR Endpoint Detection & Response (EDR) Software Sign in to see more Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/freshworks-inc-freshsales?similarProducts=true&trk=products_details_guest_similar_products_section_sign_in | Freshsales | LinkedIn Skip to main content LinkedIn Freshworks in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Freshsales Customer Relationship Management (CRM) Software by Freshworks See who's skilled in this Add as skill Get started Report this product About Freshsales provides a context-driven CRM solution for businesses of all sizes. We do this by taking a fresh approach to building and delivering an AI-driven and cost-effective omnichannel software—empowering sales teams to engage, nurture, and create delighted customers, to drive clear business results. This product is intended for Chief Revenue Officer Vice President of Sales Director of Sales And Business Development Business Development Representative Sales Development Representative Sales Executive Account Manager Account Executive Regional Business Head Head of Sales Media Products media viewer No more previous content Lead management Deal management FSA No more next content Featured customers of Freshsales Klarna Software Development 390,433 followers Kongskilde Industries Industrial Machinery Manufacturing 3,260 followers TKF (BV Twentsche Kabelfabriek) Manufacturing 11,621 followers Dunzo Technology, Information and Internet 356,114 followers Dyson Appliances, Electrical, and Electronics Manufacturing 494,915 followers Opteon AUS & NZ Real Estate 10,808 followers NorQuest College Higher Education 25,824 followers Sify Technologies Limited. Information Technology & Services 107,192 followers PharmEasy Health, Wellness & Fitness 273,281 followers Blue Nile Retail 33,285 followers Show more Show less Similar products Sales Cloud Sales Cloud Customer Relationship Management (CRM) Software Zoho CRM Zoho CRM Customer Relationship Management (CRM) Software Bigin by Zoho CRM Bigin by Zoho CRM Customer Relationship Management (CRM) Software Experian DataShare Experian DataShare Customer Relationship Management (CRM) Software Odoo CRM Odoo CRM Customer Relationship Management (CRM) Software Clickup Clickup Customer Relationship Management (CRM) Software Sign in to see more Show more Show less Freshworks products Freshchat Freshchat Live Chat Software Freshdesk Freshdesk Help Desk Software Freshdesk Omni Freshdesk Omni Help Desk Software Freshmarketer Freshmarketer Marketing Automation Software Freshservice Freshservice Service Desk Software Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
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https://www.linkedin.com/products/cloudflare-access/ | Cloudflare Access | LinkedIn Skip to main content LinkedIn Cloudflare in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Cloudflare Access Identity & Access Management (IAM) Software by Cloudflare See who's skilled in this Add as skill Learn more Report this product About Cloudflare Access replaces corporate VPN clients by securing SaaS and internal applications with a Zero Trust approach. Integrates with existing identity providers. Free for up to 50 users. Media Products media viewer No more previous content Cloudflare Access: Product Demo Cloudflare for Teams uses Cloudflare Access to secure devices, networks, and internal applications, without compromising performance. Cloudflare Access allows you to securely expose your internal applications and services, enforce user access policies, and log per-application activity, all without a VPN. Businesses big and small use Cloudflare to protect and securely publish internally-hosted applications and infrastructure that they’d traditionally protect with a network perimeter, and access No more next content Featured customers of Cloudflare Access Oak National Academy E-Learning Providers 25,588 followers OneTrust Software Development 380,493 followers Blackmores Group Wellness and Fitness Services 61,966 followers Canva Software Development 2,418,785 followers TOPdesk IT Services and IT Consulting 62,172 followers INSEAD Higher Education 739,009 followers Kathmandu Retail 25,574 followers Replicated Technology, Information and Internet 6,786 followers udaan.com Technology, Information and Internet 606,047 followers Panagora Strategic Management Services 2,451 followers Science Museum of Minnesota Museums, Historical Sites, and Zoos 11,907 followers Show more Show less Similar products Crowd Crowd Identity & Access Management (IAM) Software Saviynt Intelligence Saviynt Intelligence Identity & Access Management (IAM) Software Akamai Identity Cloud Akamai Identity Cloud Identity & Access Management (IAM) Software RSA Governance & Lifecycle RSA Governance & Lifecycle Identity & Access Management (IAM) Software Veridian Veridian Identity & Access Management (IAM) Software Teleport Teleport Identity & Access Management (IAM) Software Sign in to see more Show more Show less Cloudflare products Argo Smart Routing Argo Smart Routing Network Management Software Cloudflare DDoS Protection Cloudflare DDoS Protection DDoS Protection Software Cloudflare DNS Cloudflare DNS Managed DNS Services Software Cloudflare Load Balancing Cloudflare Load Balancing Load Balancing Software Cloudflare Registrar Cloudflare Registrar Managed DNS Services Software Cloudflare Spectrum Cloudflare Spectrum DDoS Protection Software Cloudflare SSL / TLS Cloudflare SSL / TLS SSL Certificates Software Cloudflare WAF Cloudflare WAF Web Application Firewalls (WAF) Cloudflare Web Analytics Cloudflare Web Analytics Digital Analytics Software Cloudflare Workers Cloudflare Workers Server Virtualization Software Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
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https://git-scm.com/book/es/v2/Inicio---Sobre-el-Control-de-Versiones-Fundamentos-de-Git | Git - Fundamentos de Git About Trademark Learn Book Cheat Sheet Videos External Links Tools Command Line GUIs Hosting Reference Install Community This book is available in English . Full translation available in azərbaycan dili , български език , Deutsch , Español , فارسی , Français , Ελληνικά , 日本語 , 한국어 , Nederlands , Русский , Slovenščina , Tagalog , Українська , 简体中文 , Partial translations available in Čeština , Македонски , Polski , Српски , Ўзбекча , 繁體中文 , Translations started for Беларуская , Indonesian , Italiano , Bahasa Melayu , Português (Brasil) , Português (Portugal) , Svenska , Türkçe . The source of this book is hosted on GitHub. Patches, suggestions and comments are welcome. Chapters ▾ 1. Inicio - Sobre el Control de Versiones 1.1 Acerca del Control de Versiones 1.2 Una breve historia de Git 1.3 Fundamentos de Git 1.4 La Línea de Comandos 1.5 Instalación de Git 1.6 Configurando Git por primera vez 1.7 ¿Cómo obtener ayuda? 1.8 Resumen 2. Fundamentos de Git 2.1 Obteniendo un repositorio Git 2.2 Guardando cambios en el Repositorio 2.3 Ver el Historial de Confirmaciones 2.4 Deshacer Cosas 2.5 Trabajar con Remotos 2.6 Etiquetado 2.7 Alias de Git 2.8 Resumen 3. Ramificaciones en Git 3.1 ¿Qué es una rama? 3.2 Procedimientos Básicos para Ramificar y Fusionar 3.3 Gestión de Ramas 3.4 Flujos de Trabajo Ramificados 3.5 Ramas Remotas 3.6 Reorganizar el Trabajo Realizado 3.7 Recapitulación 4. Git en el Servidor 4.1 Los Protocolos 4.2 Configurando Git en un servidor 4.3 Generando tu clave pública SSH 4.4 Configurando el servidor 4.5 El demonio Git 4.6 HTTP Inteligente 4.7 GitWeb 4.8 GitLab 4.9 Git en un alojamiento externo 4.10 Resumen 5. Git en entornos distribuidos 5.1 Flujos de trabajo distribuidos 5.2 Contribuyendo a un Proyecto 5.3 Manteniendo un proyecto 5.4 Resumen 6. GitHub 6.1 Creación y configuración de la cuenta 6.2 Participando en Proyectos 6.3 Mantenimiento de un proyecto 6.4 Gestión de una organización 6.5 Scripting en GitHub 6.6 Resumen 7. Herramientas de Git 7.1 Revisión por selección 7.2 Organización interactiva 7.3 Guardado rápido y Limpieza 7.4 Firmando tu trabajo 7.5 Buscando 7.6 Reescribiendo la Historia 7.7 Reiniciar Desmitificado 7.8 Fusión Avanzada 7.9 Rerere 7.10 Haciendo debug con Git 7.11 Submódulos 7.12 Agrupaciones 7.13 Replace 7.14 Almacenamiento de credenciales 7.15 Resumen 8. Personalización de Git 8.1 Configuración de Git 8.2 Git Attributes 8.3 Puntos de enganche en Git 8.4 Un ejemplo de implantación de una determinada política en Git 8.5 Recapitulación 9. Git y Otros Sistemas 9.1 Git como Cliente 9.2 Migración a Git 9.3 Resumen 10. Los entresijos internos de Git 10.1 Fontanería y porcelana 10.2 Los objetos Git 10.3 Referencias Git 10.4 Archivos empaquetadores 10.5 Las especificaciones para hacer referencia a… (refspec) 10.6 Protocolos de transferencia 10.7 Mantenimiento y recuperación de datos 10.8 Variables de entorno 10.9 Recapitulación A1. Apéndice A: Git en otros entornos A1.1 Interfaces gráficas A1.2 Git en Visual Studio A1.3 Git en Eclipse A1.4 Git con Bash A1.5 Git en Zsh A1.6 Git en Powershell A1.7 Resumen A2. Apéndice B: Integrando Git en tus Aplicaciones A2.1 Git mediante Línea de Comandos A2.2 Libgit2 A2.3 JGit A3. Apéndice C: Comandos de Git A3.1 Configuración A3.2 Obtener y Crear Proyectos A3.3 Seguimiento Básico A3.4 Ramificar y Fusionar A3.5 Compartir y Actualizar Proyectos A3.6 Inspección y Comparación A3.7 Depuración A3.8 Parcheo A3.9 Correo Electrónico A3.10 Sistemas Externos A3.11 Administración A3.12 Comandos de Fontanería 2nd Edition 1.3 Inicio - Sobre el Control de Versiones - Fundamentos de Git Fundamentos de Git Entonces, ¿qué es Git en pocas palabras? Es muy importante entender bien esta sección, porque si entiendes lo que es Git y los fundamentos de cómo funciona, probablemente te será mucho más fácil usar Git efectivamente. A medida que aprendas Git, intenta olvidar todo lo que posiblemente conoces acerca de otros VCS como Subversion y Perforce. Hacer esto te ayudará a evitar confusiones sutiles a la hora de utilizar la herramienta. Git almacena y maneja la información de forma muy diferente a esos otros sistemas, a pesar de que su interfaz de usuario es bastante similar. Comprender esas diferencias evitará que te confundas a la hora de usarlo. Copias instantáneas, no diferencias La principal diferencia entre Git y cualquier otro VCS (incluyendo Subversion y sus amigos) es la forma en la que manejan sus datos. Conceptualmente, la mayoría de los otros sistemas almacenan la información como una lista de cambios en los archivos. Estos sistemas (CVS, Subversion, Perforce, Bazaar, etc.) manejan la información que almacenan como un conjunto de archivos y las modificaciones hechas a cada uno de ellos a través del tiempo. Figura 4. Almacenamiento de datos como cambios en una versión de la base de cada archivo. Git no maneja ni almacena sus datos de esta forma. Git maneja sus datos como un conjunto de copias instantáneas de un sistema de archivos miniatura. Cada vez que confirmas un cambio, o guardas el estado de tu proyecto en Git, él básicamente toma una foto del aspecto de todos tus archivos en ese momento y guarda una referencia a esa copia instantánea. Para ser eficiente, si los archivos no se han modificado Git no almacena el archivo de nuevo, sino un enlace al archivo anterior idéntico que ya tiene almacenado. Git maneja sus datos como una secuencia de copias instantáneas. Figura 5. Almacenamiento de datos como instantáneas del proyecto a través del tiempo. Esta es una diferencia importante entre Git y prácticamente todos los demás VCS. Hace que Git reconsidere casi todos los aspectos del control de versiones que muchos de los demás sistemas copiaron de la generación anterior. Esto hace que Git se parezca más a un sistema de archivos miniatura con algunas herramientas tremendamente poderosas desarrolladas sobre él, que a un VCS. Exploraremos algunos de los beneficios que obtienes al modelar tus datos de esta manera cuando veamos ramificación (branching) en Git en el (véase [ch03-git-branching] ). Casi todas las operaciones son locales La mayoría de las operaciones en Git sólo necesitan archivos y recursos locales para funcionar. Por lo general no se necesita información de ningún otro computador de tu red. Si estás acostumbrado a un CVCS donde la mayoría de las operaciones tienen el costo adicional del retardo de la red, este aspecto de Git te va a hacer pensar que los dioses de la velocidad han bendecido Git con poderes sobrenaturales. Debido a que tienes toda la historia del proyecto ahí mismo, en tu disco local, la mayoría de las operaciones parecen prácticamente inmediatas. Por ejemplo, para navegar por la historia del proyecto, Git no necesita conectarse al servidor para obtener la historia y mostrártela - simplemente la lee directamente de tu base de datos local. Esto significa que ves la historia del proyecto casi instantáneamente. Si quieres ver los cambios introducidos en un archivo entre la versión actual y la de hace un mes, Git puede buscar el archivo de hace un mes y hacer un cálculo de diferencias localmente, en lugar de tener que pedirle a un servidor remoto que lo haga, u obtener una versión antigua desde la red y hacerlo de manera local. Esto también significa que hay muy poco que no puedes hacer si estás desconectado o sin VPN. Si te subes a un avión o a un tren y quieres trabajar un poco, puedes confirmar tus cambios felizmente hasta que consigas una conexión de red para subirlos. Si te vas a casa y no consigues que tu cliente VPN funcione correctamente, puedes seguir trabajando. En muchos otros sistemas, esto es imposible o muy engorroso. En Perforce, por ejemplo, no puedes hacer mucho cuando no estás conectado al servidor. En Subversion y CVS, puedes editar archivos, pero no puedes confirmar los cambios a tu base de datos (porque tu base de datos no tiene conexión). Esto puede no parecer gran cosa, pero te sorprendería la diferencia que puede suponer. Git tiene integridad Todo en Git es verificado mediante una suma de comprobación (checksum en inglés) antes de ser almacenado, y es identificado a partir de ese momento mediante dicha suma. Esto significa que es imposible cambiar los contenidos de cualquier archivo o directorio sin que Git lo sepa. Esta funcionalidad está integrada en Git al más bajo nivel y es parte integral de su filosofía. No puedes perder información durante su transmisión o sufrir corrupción de archivos sin que Git sea capaz de detectarlo. El mecanismo que usa Git para generar esta suma de comprobación se conoce como hash SHA-1. Se trata de una cadena de 40 caracteres hexadecimales (0-9 y a-f), y se calcula con base en los contenidos del archivo o estructura del directorio en Git. Un hash SHA-1 se ve de la siguiente forma: 24b9da6552252987aa493b52f8696cd6d3b00373 Verás estos valores hash por todos lados en Git, porque son usados con mucha frecuencia. De hecho, Git guarda todo no por nombre de archivo, sino por el valor hash de sus contenidos. Git generalmente solo añade información Cuando realizas acciones en Git, casi todas ellas sólo añaden información a la base de datos de Git. Es muy difícil conseguir que el sistema haga algo que no se pueda enmendar, o que de algún modo borre información. Como en cualquier VCS, puedes perder o estropear cambios que no has confirmado todavía. Pero después de confirmar una copia instantánea en Git es muy difícil perderla, especialmente si envías tu base de datos a otro repositorio con regularidad. Esto hace que usar Git sea un placer, porque sabemos que podemos experimentar sin peligro de estropear gravemente las cosas. Para un análisis más exhaustivo de cómo almacena Git su información y cómo puedes recuperar datos aparentemente perdidos, ver Deshacer Cosas . Los Tres Estados Ahora presta atención. Esto es lo más importante que debes recordar acerca de Git si quieres que el resto de tu proceso de aprendizaje prosiga sin problemas. Git tiene tres estados principales en los que se pueden encontrar tus archivos: confirmado (committed), modificado (modified), y preparado (staged). Confirmado: significa que los datos están almacenados de manera segura en tu base de datos local. Modificado: significa que has modificado el archivo pero todavía no lo has confirmado a tu base de datos. Preparado: significa que has marcado un archivo modificado en su versión actual para que vaya en tu próxima confirmación. Esto nos lleva a las tres secciones principales de un proyecto de Git: El directorio de Git (Git directory), el directorio de trabajo (working directory), y el área de preparación (staging area). Figura 6. Directorio de trabajo, área de almacenamiento y el directorio Git. El directorio de Git es donde se almacenan los metadatos y la base de datos de objetos para tu proyecto. Es la parte más importante de Git, y es lo que se copia cuando clonas un repositorio desde otra computadora. El directorio de trabajo es una copia de una versión del proyecto. Estos archivos se sacan de la base de datos comprimida en el directorio de Git, y se colocan en disco para que los puedas usar o modificar. El área de preparación es un archivo, generalmente contenido en tu directorio de Git, que almacena información acerca de lo que va a ir en tu próxima confirmación. A veces se le denomina índice (“index”), pero se está convirtiendo en estándar el referirse a ella como el área de preparación. El flujo de trabajo básico en Git es algo así: Modificas una serie de archivos en tu directorio de trabajo. Preparas los archivos, añadiéndolos a tu área de preparación. Confirmas los cambios, lo que toma los archivos tal y como están en el área de preparación y almacena esa copia instantánea de manera permanente en tu directorio de Git. Si una versión concreta de un archivo está en el directorio de Git, se considera confirmada (committed). Si ha sufrido cambios desde que se obtuvo del repositorio, pero ha sido añadida al área de preparación, está preparada (staged). Y si ha sufrido cambios desde que se obtuvo del repositorio, pero no se ha preparado, está modificada (modified). En [ch02-git-basics] aprenderás más acerca de estos estados y de cómo puedes aprovecharlos o saltarte toda la parte de preparación. prev | next About this site Patches, suggestions, and comments are welcome. Git is a member of Software Freedom Conservancy | 2026-01-13T09:29:17 |
https://huggingface.co/datasets?modality=modality%3Avideo | Video Datasets – Hugging Face Hugging Face Models Datasets Spaces Community Docs Enterprise Pricing Log In Sign Up 1T","label":"> 1T","type":"size_categories"}],"format":[{"id":"format:json","label":"json","type":"format"},{"id":"format:csv","label":"csv","type":"format"},{"id":"format:parquet","label":"parquet","type":"format"},{"id":"format:optimized-parquet","label":"optimized-parquet","type":"format"},{"id":"format:imagefolder","label":"imagefolder","type":"format"},{"id":"format:audiofolder","label":"soundfolder","type":"format"},{"id":"format:webdataset","label":"webdataset","type":"format"},{"id":"format:text","label":"text","type":"format"},{"id":"format:arrow","label":"arrow","type":"format"}],"benchmark":[{"id":"benchmark:official","label":"Benchmark","type":"benchmark"}]},"numItemsPerPage":30,"numTotalItems":35839,"pageIndex":0,"searchQuery":"","sortBy":""}}"> Edit Datasets filters Main Tasks Libraries Languages Licenses Other Modalities Reset Modalities 3D Audio Document Geospatial Image Tabular Text Time-series Video Size (rows) Reset Size < 1K > 1T Format json csv parquet optimized-parquet imagefolder soundfolder webdataset text arrow Evaluation Benchmark Apply filters Datasets 35,839 Full-text search Edit filters Sort: Trending Active filters: video Clear all genrobot2025/10Kh-RealOmin-OpenData Updated 7 days ago • 87.1k • 139 Lewandofski/OpenVE-3M Viewer • Updated 8 days ago • 4.16M • 6.59k • 80 openai/gdpval Viewer • Updated Sep 25, 2025 • 220 • 26.3k • 436 facebook/jepa-wms Viewer • Updated 11 days ago • 524 • 159 • 7 CaiYuanhao/DiffusionGS Viewer • Updated 14 days ago • 119 • 2.63k • 10 youliangtan/so101-table-cleanup Viewer • Updated Jun 6, 2025 • 47k • 1.4k • 23 builddotai/Egocentric-100K Viewer • Updated Dec 11, 2025 • 1.95M • 97.4k • 80 FBK-MT/MCIF Viewer • Updated 29 days ago • 3.84k • 5.13k • 67 IntelLabs/Intel_Robotic_Welding_Multimodal_Dataset Updated Sep 23, 2025 • 23 • 15 nyuuzyou/suno Preview • Updated Nov 20, 2024 • 109 • 80 Lixsp11/Sekai-Project Viewer • Updated Oct 22, 2025 • 344k • 1.13k • 39 XiangpengYang/VideoCoF-50k Viewer • Updated 11 days ago • 49.2k • 90 • 4 Mialiu/nerf Viewer • Updated Apr 2, 2023 • 1.73k • 48 • 2 lmms-lab/Video-MME Viewer • Updated Jul 4, 2024 • 2.7k • 28k • 65 HuggingFaceFV/finevideo Viewer • Updated Dec 16, 2024 • 39.5k • 8.5k • 343 lerobot/libero Viewer • Updated 22 days ago • 275k • 3.21k • 4 G3ND3K/so101_picking_up_green_lego_big Viewer • Updated 11 days ago • 32.9k • 73 • 5 teetone/RoboReward Viewer • Updated 7 days ago • 54.1k • 5.23k • 2 Sunain-Labs/sunain-gameplay Viewer • Updated about 23 hours ago • 14.8k • 150 • 2 gafoart/gafoart Viewer • Updated Nov 14, 2025 • 5 • 662 • 1 twoyoung/3DGS-binary-segmentation Viewer • Updated Mar 5, 2024 • 105 • 28 • 1 pablovela5620/sample-polycam-room Viewer • Updated Apr 18, 2024 • 8.37k • 8 • 1 lerobot/pusht Viewer • Updated Sep 27, 2025 • 25.7k • 6.28k • 30 lerobot/aloha_sim_insertion_scripted Viewer • Updated Sep 27, 2025 • 20k • 2.67k • 3 UW3DGS/UW3DGS Viewer • Updated Mar 28, 2024 • 3 • 12 • 1 lerobot/aloha_mobile_cabinet Viewer • Updated Oct 23, 2025 • 128k • 2.38k • 8 Mutonix/Vript_Chinese Viewer • Updated Oct 16, 2024 • 294k • 442 • 12 avalab/Allo-AVA Preview • Updated Oct 15, 2024 • 3.08k • 2 zhwang4ai/OpenAI-Minecraft-Contractor Preview • Updated Apr 16, 2025 • 11 • 4 Shaldon/GenProp-Data Viewer • Updated Jan 2, 2025 • 40 • 106 • 3 Previous 1 2 3 ... 100 Next System theme Company TOS Privacy About Careers Website Models Datasets Spaces Pricing Docs | 2026-01-13T09:29:17 |
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https://huggingface.co/datasets/WNT3D/Ultimate-Offensive-Red-Team | WNT3D/Ultimate-Offensive-Red-Team · Datasets at Hugging Face Hugging Face Models Datasets Spaces Community Docs Enterprise Pricing Log In Sign Up Datasets: WNT3D / Ultimate-Offensive-Red-Team like 120 Tasks: Text Generation Question Answering Text Classification Modalities: Text Languages: English Size: 10K - 100K Tags: cybersecurity red-team penetration-testing offensive-security vulnerability-research exploit-development License: mit Dataset card Data Studio Files Files and versions xet Community 1 \", \" \", \"javascript:alert('XSS')\", \" \", \" \", \"'-alert('XSS')-'\", \" \"], 'detection_patterns': [' \", \" \", \" \", \"javascript:alert('XSS')\", \" \", \" \", \"'-alert('XSS')-'\", \" \"], 'detection_patterns': [' | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/cloudflare-registrar/#main-content | Cloudflare Registrar | LinkedIn Skip to main content LinkedIn Cloudflare in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Cloudflare Registrar Managed DNS Services Software by Cloudflare See who's skilled in this Add as skill Get started Report this product About Finally, a domain registrar you can love. Cloudflare Registrar securely registers and manages your domain names with transparent, no-markup pricing that eliminates surprise renewal fees and hidden add-on charges. You pay what we pay — you won’t find a better value. Media Products media viewer No more previous content Adding a new domain to Cloudflare This video explains how to add a new website to Cloudflare. No more next content Similar products Cisco Umbrella Cisco Umbrella Secure Web Gateways Akamai Edge DNS Akamai Edge DNS Managed DNS Services Software Cloudflare DNS Cloudflare DNS Managed DNS Services Software Infoblox Core Network Services Infoblox Core Network Services Managed DNS Services Software Advanced DNS Protection Advanced DNS Protection Managed DNS Services Software DNSi Big Data Connector DNSi Big Data Connector Managed DNS Services Software Sign in to see more Show more Show less Cloudflare products Argo Smart Routing Argo Smart Routing Network Management Software Cloudflare DDoS Protection Cloudflare DDoS Protection DDoS Protection Software Cloudflare DNS Cloudflare DNS Managed DNS Services Software Cloudflare Load Balancing Cloudflare Load Balancing Load Balancing Software Cloudflare Spectrum Cloudflare Spectrum DDoS Protection Software Cloudflare SSL / TLS Cloudflare SSL / TLS SSL Certificates Software Cloudflare WAF Cloudflare WAF Web Application Firewalls (WAF) Cloudflare Web Analytics Cloudflare Web Analytics Digital Analytics Software Cloudflare Workers Cloudflare Workers Server Virtualization Software Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/categories/blockchain-platforms | Best Blockchain Platforms | Products | LinkedIn Skip to main content LinkedIn Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Clear text Used by Used by Blockchain Developer (43) Blockchain Consultant (30) Software Engineer (19) Chief Executive Officer (16) Chief Technology Officer (14) See all products Find top products in Blockchain Platforms category Software used to secure transactions in a public database where each transaction verifies the previous. - Execute verified, approved, time-stamped transactions - Document and track exchanges in a database - Prevent fraudulent activities by freezing unverified transactions - Implement transaction verification for cryptocurrency and other applications, such as IoT, e-commerce, and insurance claims 406 results Quartz Blockchain Platforms by Tata Consultancy Services Quartz – The Smart Ledgers™ Quartz provides foundational tools & business components that enable organizations to leverage a unique on-chain, off-chain approach, harnessing the power of Distributed Technology (DLT). Quartz comprises Smart Solutions, a set of ‘DLT-friendly business offerings for multiple industries; Ledgers, Off-the-shelf ledger structures, functions, & APIs for business processes across various domains; the DevKit, a smart contract development kit to enable programming of high-quality code on multiple blockchain platforms; & the Gateway & Command Center for the integration of existing solutions with blockchain ecosystems & their administration and supervision. Built on the core principles of Coexistence, Integration and Interoperability, Quartz enables existing systems to coexist & integrate with DLT platforms & other messaging networks. These solutions are helping organizations across multiple industries create truly connected ecosystems. View product Ethereum Blockchain Platforms by Ethereum Ethereum is a global, decentralized platform for money and new kinds of applications. On Ethereum, you can write code that controls money, and build applications accessible anywhere in the world. View product Blockchain as a Service Blockchain Platforms by Alibaba Cloud Blockchain as a Service (BaaS) is an enterprise-level platform service based on leading blockchain technologies, which helps you to build a secure, stable blockchain environment, and facilitate business development. View product Stellar Blockchain Platforms by Stellar Development Foundation The Stellar network is an open-source blockchain used for a variety of payment and remittance applications. Leverage a robust set of tools and products to harness the full potential of the Stellar blockchain. Check out all that's available to help you build on and explore the network. View product Cardano Blockchain Platforms by Cardano Foundation Cardano is a public, permissionless proof-of-stake blockchain infrastructure. The first founded on peer-reviewed research, it has robust engineering and provides maximum security, scalability, and decentralization. Cardano is maintained by a global network of experts, developers, and organizations. View product Find products trusted by professionals in your network See which products are used by connections in your network and those that share similar job titles Sign in to view full insights Polkadot Blockchain Platforms by Polkadot Polkadot empowers blockchain networks to work together under the protection of shared security. View product Immutable Blockchain Platforms by Immutable We are building property rights for the new digital world. Immutable is advancing the future of gaming through Immutable Platform, the leading platform for building games on Ethereum and Immutable Games, a global leader in web3 game development and publishing. View product Renaissance Blockchain Platforms by GenesisCipher Labs Renaissance manages a resilient basket of 16 major global currencies. By balancing currency fluctuations across continents, RNI achieves unparalleled stability and resilience. View product Gemini Staking Blockchain Platforms by Gemini Accrue rewards with Gemini Staking With Gemini Staking, you can participate in the blockchain ecosystem and receive staking rewards on your crypto. View product Hyperledger Fabric Blockchain Platforms by LF Decentralized Trust A blockchain framework implementation intended as a foundation for developing applications or solutions with a modular architecture. 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https://www.linkedin.com/products/t-systems-business-cockpit/?trk=products_details_guest_similar_products_section_similar_products_section_product_link_result-card_full-click#main-content | Business Cockpit | LinkedIn Skip to main content LinkedIn T-Systems International in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Business Cockpit Business Process Management Software by T-Systems International See who's skilled in this Add as skill Learn more Report this product About Das Business Cockpit ist ein Service, der es ermöglicht, Business Objekte (z.B. Fahrzeuge, Lieferungen) und deren Prozessdurchläufe in Echtzeit graphisch darzustellen und analytisch auszuwerten. Durch ein systemübergreifendes Tracking erkennen Sie schnell Anomalien, können Entscheidungen auf Basis aktueller Fakten treffen und sofort eingreifen. Verringern Sie Prozesskosten und beschleunigen Sie Ihre Abläufe durch gezielte Ursachenanalyse auch von historischen Daten. This product is intended for Manager Process Manager Automotive Manager Business Analyst Senior Business Analyst Project Manager Automotive Consultant Logistics Specialist Media Products media viewer No more previous content Business Cockpit Erklärvideo Das Business Cockpit ist ein Service, der es ermöglicht, Business Objekte (z.B. Fahrzeuge, Lieferungen) und deren Prozessdurchläufe in Echtzeit graphisch darzustellen und analytisch auszuwerten. Durch ein systemübergreifendes Tracking erkennen Sie schnell Anomalien, können Entscheidungen auf Basis aktueller Fakten treffen und sofort eingreifen. Verringern Sie Prozesskosten und beschleunigen Sie Ihre Abläufe durch gezielte Ursachenanalyse auch von historischen Daten. Business Cockpit Onepager Das Business Cockpit ist ein Service, der es ermöglicht, Business Objekte (z.B. Fahrzeuge, Lieferungen) und deren Prozessdurchläufe in Echtzeit graphisch darzustellen und analytisch auszuwerten. Durch ein systemübergreifendes Tracking erkennen Sie schnell Anomalien, können Entscheidungen auf Basis aktueller Fakten treffen und sofort eingreifen. Verringern Sie Prozesskosten und beschleunigen Sie Ihre Abläufe durch gezielte Ursachenanalyse auch von historischen Daten. Business Cockpit Interview Das Business Cockpit ist ein Service, der es ermöglicht, Business Objekte (z.B. Fahrzeuge, Lieferungen) und deren Prozessdurchläufe in Echtzeit graphisch darzustellen und analytisch auszuwerten. Durch ein systemübergreifendes Tracking erkennen Sie schnell Anomalien, können Entscheidungen auf Basis aktueller Fakten treffen und sofort eingreifen. Verringern Sie Prozesskosten und beschleunigen Sie Ihre Abläufe durch gezielte Ursachenanalyse auch von historischen Daten. No more next content Similar products ServiceNow AI Platform ServiceNow AI Platform Business Process Management Software Amdocs TechInsights Amdocs TechInsights Business Process Management Software HCL Domino HCL Domino Business Process Management Software Skan AI Process Intelligence Platform Skan AI Process Intelligence Platform Business Process Management Software CaseXellence CaseXellence Business Process Management Software Decisions Decisions Business Process Management Software Sign in to see more Show more Show less T-Systems International products CARbon Footprint Fleet Optimizer CARbon Footprint Fleet Optimizer Sustainability Software Content as a Service (CaaS) Content as a Service (CaaS) Enterprise Content Management (ECM) Software DocuSign DocuSign E-Signature Software ImageMaster ImageMaster Enterprise Content Management (ECM) Software Limago Limago Translation Management Software MatchMaker MatchMaker Automotive Marketing Software Open Telekom Cloud Open Telekom Cloud Infrastructure as a Service (IaaS) Recycling App Recycling App Sustainability Software TypeMaster TypeMaster Enterprise Content Management (ECM) Software Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
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https://www.linkedin.com/products/mightybell-mighty-networks/?trk=products_seo_search | Mighty Networks | LinkedIn Skip to main content LinkedIn Mighty Networks in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Mighty Networks Enterprise Social Networking Software by Mighty Networks See who's skilled in this Add as skill Try now Report this product About Mighty is where creators, entrepreneurs, and brands build digital communities with cultural software. With content, courses, commerce, and community in one place—under your brand, on every platform. Featured customers of Mighty Networks Tony Robbins Professional Training and Coaching 65,081 followers Hello Seven Professional Training and Coaching 7,217 followers Empify Financial Services 7,037 followers TED Conferences Non-profit Organizations 24,494,928 followers Matthew Hussey / 320 Media Media Production 1,165 followers Yerba Madre Food and Beverage Manufacturing 17,681 followers Crazy Sexy Wellness / kriscarr.com Wellness and Fitness Services 852 followers University of Cambridge Research Services 1,293,210 followers Mindbody Wellness and Fitness Services 228,488 followers This Naked Mind, LLC Wellness and Fitness Services 1,297 followers 143 Studios, LLC Media Production 6,361 followers Hyman Health Hospitals and Health Care 3,216 followers vYve Professional Training and Coaching 1,271 followers KonMari Media, Inc. Online Media 5,031 followers Marie Forleo International E-learning 16,744 followers Keap Software Development 35,555 followers Athletic Brewing Co. Food and Beverage Services 43,400 followers Gupta Program Education 82 followers DEEPAK CHOPRA LLC Artists and Writers 321 followers Whole30 Health, Wellness & Fitness 2,137 followers Civility Media Media Production 415 followers Show more Show less Similar products HCL Connections HCL Connections Enterprise Social Networking Software Circle Circle Enterprise Social Networking Software Lark Lark Enterprise Social Networking Software Meta for Work Meta for Work Enterprise Social Networking Software Krishify Business Suite Krishify Business Suite Enterprise Social Networking Software Network Network Enterprise Social Networking Software Sign in to see more Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/categories/data-science-and-machine-learning-platforms | Best Data Science &amp; Machine Learning Platforms | Products | LinkedIn Skip to main content LinkedIn Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Clear text Used by Used by Data Scientist (115) Data Analyst (55) Machine Learning Engineer (52) Data Engineer (48) Artificial Intelligence Engineer (24) See all products Find top products in Data Science & Machine Learning Platforms category Software used to create and leverage machine learning algorithms for artificial intelligence (AI) applications such as natural language processing. - Use tools to build and monitor machine learning algorithms on an AI platform at scale - Connect data to algorithms for intelligent decision-making and adaptive applications - Use visual interfaces, drag-and-drop modeling, and prebuilt algorithms 356 results Amazon SageMaker Data Science & Machine Learning Platforms by Amazon Web Services (AWS) Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. View product The Databricks Data Intelligence Platform Data Science & Machine Learning Platforms by Databricks The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. View product ZAIDYN Data Science & Machine Learning Platforms by ZS ZAIDYN™ is an AI-powered, cloud-native platform that empowers your life sciences teams by delivering real-time, relevant and precise analytics. Ready to empower your people, transform your processes and create real change? Learn more about ZAIDYN today. View product Dataiku Data Science & Machine Learning Platforms by Dataiku Dataiku: The Universal AI Platform™ Dataiku is the only platform on the market that unifies all your data work, from analytics to generative and agentic AI, for maximum Return on AI (ROAI). Dataiku enables enterprise-wide AI transformation by: - Connecting to existing infrastructure and integrating with all the latest and greatest technology so organizations can experiment and switch underlying architectures with ease. - Supporting everyone (from data to domain experts) in working with data, meeting them where they are with no, low, and full-code features. - Underpinning all processes with the governance and right level of oversight required to leverage AI at scale and make informed decisions about risks and resources. View product Datalore Data Science & Machine Learning Platforms by JetBrains Datalore is a collaborative, web-based data analytics platform that provides a great notebook experience and empowers teams to explore, analyze, and visualize data together. It simplifies insight delivery with shared notebooks, AI-assisted coding, and seamless data connections, enabling impactful, engaging data storytelling. Datalore offers flexible deployment options (both cloud-based and on-premises), secure authentication, and GDPR/SOC 2 Type II compliance to keep your data safe. View product Find products trusted by professionals in your network See which products are used by connections in your network and those that share similar job titles Sign in to view full insights DataRobot Data Science & Machine Learning Platforms by DataRobot DataRobot delivers the industry-leading AI applications and platform that maximize impact and minimize risk for your business. Learn more at datarobot.com. View product Astro Data Science & Machine Learning Platforms by Astronomer Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and power data-driven applications. Trusted by more than 750 of the world’s leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io. Apache® and Apache Airflow® are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by the Apache Software Foundation is implied by the use of these marks. All other trademarks are the property of their respective owners. View product RapidMiner Data Science & Machine Learning Platforms by Altair RapidMiner is an enterprise-ready data science and machine learning platform that amplifies the collective impact of your organization’s people, expertise, and data for breakthrough competitive advantage. The end-to-end platform supports the entire team across the AI lifecycle, including: • Data engineering • Model building • MLOps • AI app building • Collaboration & governance • Trust & transparency With over one million users, the RapidMiner platform has everything for everyone—meaning that every persona on your team can work in their preferred data science environment while collaborating cross-functionally. Some popular features that users (from expert coders to citizen data scientists) know and love include: • Visual workflow designer • Automated data science • Code-based data science RapidMiner is used across industries, including manufacturing, financial services, healthcare, automotive, CPG, etc. Find out how our data science platform can make an impact at your organization. View product Machine Learning Platform for AI Data Science & Machine Learning Platforms by Alibaba Cloud Machine Learning Platform For AI provides end-to-end machine learning services, including data processing, feature engineering, model training, model prediction, and model evaluation. View product Toloka Data Science & Machine Learning Platforms by Toloka Curated data for training and evaluating: AI agents, coding models, LLM text & reasoning skills, creative AI, AI safety, and more. We deliver high-quality bespoke data solutions by combining the latest AI & ML technologies with expert human feedback. View product See more How it works Explore Discover the best product for your need from a growing catalog of 25,000 products and categories trusted by LinkedIn professionals Learn Evaluate new tools, explore trending products in your industry and see who in your network is skilled in the product Grow Join communities of product users to learn best practices, celebrate your progress and accelerate your career LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/zohocorp-zoho-campaigns/?trk=products_seo_search#main-content | Zoho Campaigns | LinkedIn Skip to main content LinkedIn Zoho in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Zoho Campaigns Marketing Automation Software by Zoho See who's skilled in this Add as skill Request demo Report this product About Zoho Campaigns is an online email marketing software that equips businesses with the complete toolkit to meet their email marketing needs. With Zoho Campaigns, you can personalize your emails at scale, streamline your processes with automated workflows, and achieve high deliverability rates to ensure your messages land in the right inboxes. This product is intended for Sales And Marketing Specialist Marketing Consultant Campaign Manager Community Manager Product Marketing Specialist Digital Marketing Manager Enterprise Marketing Manager Email Marketing Specialist Chief Marketing Officer Marketing Manager Media Products media viewer No more previous content Campaign creation Effortless campaign creation with intuitive design tools, personalized messaging, and audience segmentation. Once crafted, email campaigns are efficiently executed, allowing businesses to engage with their audience for optimal reach and impact. Drag-and-drop automated workflows With email workflows, you can tailor strategies for various email marketing scenarios. Simply choose your strategy, configure the workflow, activate it, and let our automated workflows handle the rest! Topic management Enhance email engagement by categorizing contacts for tailored content, boosting open and click-through rates, and inbox placement. Template editor A user-friendly drag-and-drop email builder helps you craft personalized newsletters with customizable layouts. Select images, content blocks, and social icons, an arrange them as desired. No more next content Featured customers of Zoho Campaigns Puné Gas Oil and Gas 15,898 followers Team Everest NGO Civic and Social Organizations 31,987 followers Zorz Studios Photography 874 followers Bal Raksha Bharat Non-profit Organizations 66,413 followers Victory Finance Inc Financial Services 14 followers Invest Odisha Government Relations Services 27,799 followers Amrita Vishwa Vidyapeetham Higher Education 132,094 followers Show more Show less Similar products Marketing Cloud Marketing Cloud Marketing Automation Software Freshmarketer Freshmarketer Marketing Automation Software HCL Unica HCL Unica Marketing Automation Software Brevo (formerly Sendinblue) Brevo (formerly Sendinblue) Marketing Automation Software RD Station Marketing RD Station Marketing Marketing Automation Software Adobe Marketo Adobe Marketo Marketing Automation Software Sign in to see more Show more Show less Zoho products Bigin by Zoho CRM Bigin by Zoho CRM Customer Relationship Management (CRM) Software Zoho Analytics Zoho Analytics Business Intelligence (BI) Software Zoho Commerce Zoho Commerce E-Commerce Platforms Zoho DataPrep Zoho DataPrep Data Preparation Tools Zoho Forms Zoho Forms Online Form Builder Software Zoho FSM Zoho FSM Field Service Management (FSM) Software Zoho One Zoho One Business Management Software Zoho People Zoho People Human Resources Management Systems (HRMS) Zoho RPA Zoho RPA Robotic Process Automation (RPA) Software Zoho Webinar Zoho Webinar Webinar Software Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/help/linkedin/answer/a1382101 | Reset your password | LinkedIn Help Attention screen reader users, you are in a mobile optimized view and content may not appear where you expect it to be. To return the screen to its desktop view, please maximize your browser. Skip to content Skip to search Close jump menu Help LinkedIn Help Dropdown menu, expand to explore help for other LinkedIn products Close menu Get help with: LinkedIn Corporate Billing Learning Marketing Solutions Recruiter Sales Navigator Talent Insights Go to LinkedIn Sign in Sign in Reset your password Last updated: 3 weeks ago Reset your password Resetting your password is easy and secure. To authenticate your identity, we'll send a authentication code to the email address or phone number associated with your account. After authentication, you will be directed to reset your password. Reset Password You can reset your password on the Sign in page. Click Forgot password? Enter an email address or phone number associated with your account. If you entered an email address If you select to receive an email, we’ll send a verification code to your email address associated with your account. Check your inbox with the email address associated with your account for a verification code. Enter the authentication code on the screen and click Submit . Reset your password on the next page. Learn how to troubleshoot LinkedIn emails not received . If you entered a phone number If you select to receive a text, we’ll send an authentication code to your phone. If you select to receive a call, we’ll call your phone number with the authentication code. Input the authentication code on the screen and click Submit . Reset your password on the next page. You may be asked for a two-factor authentication code if you have it enabled on your account. You may also be prompted for additional challenges for added security for your account. These challenges include authenticating through an additional email address or phone number associated with your account and sign-in security prompt for password reset . Once you have completed the password reset process, you’ll receive an email from us confirming the change. Note: The authentication code is valid for a limited time. Once you successfully sign in, you can add another email address or a phone number to make sure you can always access your account in the future. Results You should receive an email if you’ve successfully reset your password using one of the steps above. If you were unable to receive a verification code, reach out to our support team to help regain access to your account. Results Troubleshoot LinkedIn emails not received Report a compromised account Learn more Protecting your email address and password Tagged in Account Access LinkedIn Contact us Select a language. The page will automatically refresh after a language has been selected. العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) LinkedIn Corporation © 2026 About Transparency Center Privacy and Terms Cookies Copyright Terms Privacy Guest controls Dismiss Privacy and Terms menu LinkedIn Corporation © 2026 | 2026-01-13T09:29:17 |
https://www.linkedin.com/help/linkedin/answer/a1342692 | Verify your identity to recover account access | LinkedIn Help Attention screen reader users, you are in a mobile optimized view and content may not appear where you expect it to be. To return the screen to its desktop view, please maximize your browser. Skip to content Skip to search Close jump menu Help LinkedIn Help Dropdown menu, expand to explore help for other LinkedIn products Close menu Get help with: LinkedIn Corporate Billing Learning Marketing Solutions Recruiter Sales Navigator Talent Insights Go to LinkedIn Sign in Sign in Verify your identity to recover account access Last updated: 10 months ago Recover your account using a government issued ID If you can’t recover or access your account or if your account has been restricted , follow the guidance below to learn how to regain access to your account by verifying your identity through Persona, LinkedIn's identity verification provider. We need to verify your identity to ensure that only you regain access to your account and not any unauthorized person. To verify your identity, Persona will ask you to upload a clear photo of your valid government issued ID card, driver’s license, or passport. In some instances, Persona may ask you to take a photo of yourself to verify that your face matches your ID portrait. If you do not want to submit your government issued ID card or a photo of yourself, see “Other ways to recover your account” below for alternative forms of verification accepted by LinkedIn. Although you’ll access Persona’s verification process through the LinkedIn app, Persona will be collecting the personal data required to verify your identity and such collection is done pursuant to Persona’s policies. Persona only shares information about you with LinkedIn if you consent to the sharing. Persona will ask for your permission to send the following data to LinkedIn: Verification result Full name Year of birth City, state/province, country ID type and issuer Redacted copy of ID, with only the full name and face portrait being visible LinkedIn doesn’t receive your biometric data or numbers, expiry dates, or issue dates associated with your ID. LinkedIn processes this data for the purpose of account recovery and retains it only while your account issues are being resolved. They’re generally permanently deleted within 14 days of submission. We may retain non-identifying data about your ID for fraud prevention purposes. You can read our privacy policy here . How to verify your identity with Persona: To verify your ID through Persona, you’ll need access to a smartphone to take a photo of your ID. To regain access to your account quickly, you’ll need to ensure that you take a clear and unobstructed photo of a valid and unexpired government issued ID, driver’s license, or passport. Be sure that all parts of your ID are clear and legible. When verifying your identity, you will go through the steps below: If you are using a desktop device, you will be prompted to scan the QR code on your screen with your mobile device to begin ID verification. Select the country that your government ID is from. Agree to Persona’s Identity Service Terms of Use and Persona’s Privacy Policy. You may be prompted by your mobile device to enable camera access. This permission is required to complete your identity verification. If prompted, take a photo of yourself. Select your government ID type. Take a clear photo of your valid government-issued ID card, driver’s license, or passport. Accepted documents may vary by country. Note: Documents such as library or school ID cards cannot be used for verification. Persona will ask for your permission before sharing information with LinkedIn. Click Yes, share to share the verification and certain related information with LinkedIn. Example of an image that would be accepted: Examples of images that would be rejected: Other ways to recover your account Through an Affidavit of Identity If you don't wish to provide your ID, you can print the Affidavit of Identity and sign before a Notary Public. Once notarized, this form can be scanned and attached in your support case. Through a work email address If the job currently listed on your profile is up-to-date and accurate, you may be asked to verify your identity using the work email address associated with this company. The work email you provide will only be used for the purpose of your account recovery and won’t be added to your account. If you’re asked to verify your identity through your work email, please follow the steps below: Enter the email address associated with the job currently listed on your profile. Click Send code . Access your verification code in your work email account. If you don’t receive a code, click Resend code . Try our additional troubleshooting tips , if needed. Enter the code and click Submit . Click Sign in to get back into your account. Related articles Professional Community Policies No access to email address Account or content restricted or removed ID verification troubleshooting tips Tagged in Account Access LinkedIn Contact us Select a language. The page will automatically refresh after a language has been selected. العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) LinkedIn Corporation © 2026 About Transparency Center Privacy and Terms Cookies Copyright Terms Privacy Guest controls Dismiss Privacy and Terms menu LinkedIn Corporation © 2026 | 2026-01-13T09:29:17 |
https://www.linkedin.com/help/linkedin/answer/a1358878?hcppcid=search | Two-factor authentication overview | LinkedIn Help Attention screen reader users, you are in a mobile optimized view and content may not appear where you expect it to be. To return the screen to its desktop view, please maximize your browser. Skip to content Skip to search Close jump menu Help LinkedIn Help Dropdown menu, expand to explore help for other LinkedIn products Close menu Get help with: LinkedIn Corporate Billing Learning Marketing Solutions Recruiter Sales Navigator Talent Insights Go to LinkedIn Sign in Sign in Two-factor authentication overview Last updated: 3 months ago Important to know We are aware of an issue impacting some iOS users who have enabled two-factor authentication. While we work to fix the issue, there are steps you can take to access your LinkedIn content and settings after completing your two-factor authentication and clicking, Yes, it’s me. On your iOS device, go to your browser to access LinkedIn.com. Alternatively, you can access your content and settings from a browser on desktop computer Two-factor authentication (2FA) is a type of Multi-Factor Authentication (MFA) that requires a person to use more than one form of authentication to access an account, usually by "knowing something" such as a password and by "having something" such as a mobile device. Two-factor authentication can greatly reduce unauthorized access to most accounts by identifying new or unknown computers or devices. LinkedIn encourages all members to turn on two-factor authentication. Two methods of verification are available: Text (SMS) authentication. Authenticator app verification (like Microsoft Authenticator). LinkedIn recommends the authenticator app as the preferred two-factor authentication method. How does two-factor authentication work? When LinkedIn does not recognize the device that you're attempting to sign in from, you'll be asked to enter your account password as the first layer of authentication and a numerical code (also called a PIN code) as the second layer of authentication. The code will be sent to your phone via SMS or authenticator app, depending on the two-factor authentication method you selected. If you are logged into LinkedIn on a mobile device and have push notifications enabled, you will receive a push notification on your mobile device with a sign-in security prompt instead of one of the two-factor authentication methods. Learn more about the sign-in security prompt here. Important : LinkedIn requires all Recruiter , Campaign Manager , and Sales Navigator users to turn on two-factor authentication through their LinkedIn.com accounts in order to access their Recruiter, Campaign Manager, and Sales Navigator accounts. Learn more: What type of phone can be used with SMS two-factor authentication? How do I turn two-factor authentication on or off? Why can't I sign into an application after enabling two-factor authentication? What if I deleted the SMS authentication code sent to my mobile device? What if I don't have access to my mobile device or SMS and I need to access my LinkedIn account? Why am I getting an email from LinkedIn every time I sign on from a new device? What if I've exceeded the maximum number of code resends or authentication requests? Related articles: Authenticator app overview Turn two-factor authentication on and off Tagged in Data and Privacy LinkedIn Contact us Select a language. The page will automatically refresh after a language has been selected. العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) LinkedIn Corporation © 2026 About Transparency Center Privacy and Terms Cookies Copyright Terms Privacy Guest controls Dismiss Privacy and Terms menu LinkedIn Corporation © 2026 | 2026-01-13T09:29:17 |
https://marketplace.atlassian.com/search?hosting=server&product=bamboo | Search Results | Atlassian Marketplace For a better experience, update to Internet Explorer 11 or later, or use a different browser. . Your browser is incompatible, so things might not work properly. Skip to: Skip to Main content Marketplace Works with Categories Resources Regulated sectors Sign in Marketplace Search Search for apps Sort & filter Works with Hosting Pricing Trust signals Show more filters Showing over 1,000 apps Sort by: SPOTLIGHT draw.io Diagrams | UML, BPMN, AWS, ERD, & Flowcharts by Seibert - draw.io Create secure, user-friendly diagrams with the top-rated diagramming solution since 2013 and one of the first major apps on Forge 3.8 /4 (1190) 67.8k CLOUD FORTIFIED SPOTLIGHT ScriptRunner for Jira by Adaptavist The must-have app for Jira admins of every technical background: the ultimate toolkit for unlimited automation and customisation 3.7 /4 (819) 35.7k CLOUD FORTIFIED SPOTLIGHT Xray - Test Management for Jira by Xblend Native Test Management. Built for every member of your team to plan, test, track and release great software 3.4 /4 (543) 28.6k CLOUD FORTIFIED SPOTLIGHT Timesheets by Tempo - Jira Time Tracking by Tempo Software Tempo Timesheets: #1 AI Jira Time Tracking App for Project Management & Billing with Google, Slack & Outlook Integration 3.3 /4 (871) 29.3k CLOUD FORTIFIED SPOTLIGHT Jira Misc Workflow Extensions (JMWE) by Appfire Customize and automate Jira workflows with JMWE. Built for advanced, unlimited automation and smarter workflow control 3.9 /4 (513) 17.6k CLOUD FORTIFIED BESTSELLER Gliffy Diagrams for Confluence by Gliffy Communicate Complexity Clearly with Secure, AI-Driven Diagramming — Built for Teams in Confluence. UML, AWS, ERD, & Flowcharts 3.6 /4 (797) 18.3k CLOUD FORTIFIED BESTSELLER Structure by Tempo - Jira Portfolio Management PPM by Tempo Software Jira Project Portfolio Management (PPM): Manage projects & team capacity in excel spreadsheet-like tables with advanced hierarchy 3.6 /4 (401) 13.6k CLOUD FORTIFIED BESTSELLER Zephyr - Test Management and Automation for Jira by SmartBear Manage and automate tests without leaving Jira to ship quality software, faster 3.3 /4 (467) 19.2k CLOUD FORTIFIED Jira Workflow Toolbox by Decadis AG 🏆 JWT - the best rated & complete automation solution. Limitless customization of Jira workflows without the need to code 4 /4 (530) 5.2k CLOUD FORTIFIED SPOTLIGHT JSU Automation Suite for Jira Workflows by Appfire Easy, no-code workflow automation for Jira with a drag-and-drop rule builder and unlimited automation rule executions 3.6 /4 (292) 13k CLOUD FORTIFIED BESTSELLER eazyBI Reports and Charts for Jira by eazyBI Leading reports, charts, and dashboards app for Jira. Scalable, Powerful, Enterprise-Ready. Complete Analytics Solution 3.8 /4 (225) 11.7k CLOUD FORTIFIED SPOTLIGHT Xporter - Export issues from Jira to PDF, Word, Excel by Xblend Revolutionize your Jira reporting. Generate and automate PDF/DOCX/XLSX reports in your issue screens 3.7 /4 (291) 4.1k CLOUD FORTIFIED SPOTLIGHT Scroll PDF Exporter for Confluence by K15t Effortlessly transform Confluence pages into polished PDF documents with Scroll PDF Exporter 3.8 /4 (218) 9.1k CLOUD FORTIFIED SPOTLIGHT Table Filter, Charts & Spreadsheets for Confluence by Stiltsoft Europe OÜ Stop exporting data to Excel! Make your reports LIVE in Confluence with the most complete table and spreadsheet solution 3.9 /4 (436) 15.4k CLOUD FORTIFIED BESTSELLER Power BI Connector for Jira by Tempo Software No-code Power BI Jira integration. Connect Jira to Power BI and build custom Jira reports easily. Use free dashboard templates 3.8 /4 (158) 10.4k CLOUD FORTIFIED SPOTLIGHT Rich Filters for Jira Dashboards by Appfire Make your Jira dashboard actually work for you — use smart filters and build custom, dynamic reports that highlight what matters 3.9 /4 (172) 8.7k CLOUD FORTIFIED BESTSELLER Time to SLA by Appfire Best-selling service level agreement (SLA) tracking app with solid configuration, reporting & search features 3.8 /4 (225) 3.4k CLOUD FORTIFIED BESTSELLER Zephyr Essential - Test Management for Jira by SmartBear Simplify your testing with the essential tools to manage, track, and report on your tests inside of Jira 3.1 /4 (898) 12.4k CLOUD SECURITY PARTICIPANT 1 2 3 4 5 6 7 8 9 10 11 12 … 128 Couldn’t find what you were looking for? Try rephrasing your search query . Learn and explore What’s Marketplace App installation About Atlassian Atlassian resources Search and ranking Atlassian events Atlassian foundation Connect Get support Partner connect Developer resources Solution partner directory Atlassian communication channels Follow Privacy Policy Terms of Use Copyright © 2026 Atlassian | 2026-01-13T09:29:17 |
https://www.linkedin.com/uas/login?session_redirect=%2Fproducts%2Fsalesforce-marketing-cloud&trk=products_details_guest_primary_call_to_action | LinkedIn Login, Sign in | LinkedIn Sign in Sign in with Apple Sign in with a passkey By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . or Email or phone Password Show Forgot password? Keep me logged in Sign in We’ve emailed a one-time link to your primary email address Click on the link to sign in instantly to your LinkedIn account. If you don’t see the email in your inbox, check your spam folder. Resend email Back New to LinkedIn? Join now Agree & Join LinkedIn By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . LinkedIn © 2026 User Agreement Privacy Policy Community Guidelines Cookie Policy Copyright Policy Send Feedback Language العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) | 2026-01-13T09:29:17 |
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https://www.linkedin.com/products/zoho-forms/ | Zoho Forms | LinkedIn Skip to main content LinkedIn Zoho in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Zoho Forms Online Form Builder Software by Zoho See who's skilled in this Add as skill Try now Report this product About Simplify your data collection process with Zoho Forms' intuitive online form builder. Our no-code, feature-rich platform seamlessly integrates with multiple applications, enabling effortless data management across your business operations. Media Products media viewer No more previous content No-code, drag-and-drop form builder Loaded with features like calculation fields, integrated payment gateways, and a document-sign workflow, our form builder lets you close deals anytime through your online form. Themes to create forms that match your brand With the Zoho Forms’ drag-and-drop interface, building a form is easier than ever. You can choose from a collection of inbuilt form templates and customize them with our state-of-art theme editor. You can customize wallpapers, background colors, field types, fonts, borders, and every other aspect of your form. Mobile app with offline support Our free mobile app allows you to collect data on the go, even if you're offline. Instant email and SMS notifications Keep users engaged and informed with timely notifications delivered via email, SMS, and WhatsApp. Customizable PDF copy of form responses Create and send stunning PDF documents customized based on form responses. No more next content Featured customers of Zoho Forms Nykaa Technology, Information and Internet 931,118 followers Intellipaat E-Learning Providers 150,806 followers Aavas Financiers Ltd Financial Services 194,554 followers Zomato Technology, Information and Internet 1,969,669 followers Chegg Inc. Higher Education 249,069 followers Turito E-Learning Providers 28,679 followers Similar products Jotform Jotform Online Form Builder Software Typeform Typeform Online Form Builder Software Tally Tally Online Form Builder Software Jotform Enterprise Jotform Enterprise Online Form Builder Software Jotform Mobile Forms Jotform Mobile Forms Online Form Builder Software Forms Made Easy Forms Made Easy Online Form Builder Software Sign in to see more Show more Show less Zoho products Bigin by Zoho CRM Bigin by Zoho CRM Customer Relationship Management (CRM) Software Zoho Analytics Zoho Analytics Business Intelligence (BI) Software Zoho Commerce Zoho Commerce E-Commerce Platforms Zoho DataPrep Zoho DataPrep Data Preparation Tools Zoho FSM Zoho FSM Field Service Management (FSM) Software Zoho One Zoho One Business Management Software Zoho People Zoho People Human Resources Management Systems (HRMS) Zoho RPA Zoho RPA Robotic Process Automation (RPA) Software Zoho Webinar Zoho Webinar Webinar Software Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/help/linkedin/answer/a519904?hcppcid=search | Manage your email address | LinkedIn Help Attention screen reader users, you are in a mobile optimized view and content may not appear where you expect it to be. To return the screen to its desktop view, please maximize your browser. Skip to content Skip to search Close jump menu Help LinkedIn Help Dropdown menu, expand to explore help for other LinkedIn products Close menu Get help with: LinkedIn Corporate Billing Learning Marketing Solutions Recruiter Sales Navigator Talent Insights Go to LinkedIn Sign in Sign in Manage your email address Last updated: 10 months ago Add or change your email address You can quickly and easily update the email addresses that are associated with your account, or change which primary email address you want to use for your LinkedIn notifications. Update email address You can add multiple email addresses to your LinkedIn account. You can log in to your LinkedIn account using either primary or an additional email address account. We recommend that you add at least one personal address and one work address to ensure you can always access your account. Important to know Your primary email address can only be replaced with a verified email address. Desktop Mobile Mobile Browser To add and confirm or remove an email address: Click the Me icon at the top of your LinkedIn homepage. Click Settings & Privacy . Click Sign in & security on the left pane and click on Email addresses under Account access . Click Add email address . For security purposes, you may be prompted to enter a verification code sent to your primary email address or to approve the change through your LinkedIn app. Enter the new email address and your LinkedIn password in the text box and click Submit . Log in to your email account and follow the prompts in the email to validate your new address. If you'd like to make your new email address your primary address, click Make primary next to the email address you've added. Tap Remove next to an email address to delete it. Important to know In case you see a toggle next to your recently added & confirmed email, please turn it on in case you need to activate a license or access one of our products (For example, Sales Navigator) using that e-mail. Turning on the toggle will not prompt you to reset your password. To add and confirm or remove an email address: Tap your profile photo, then Settings . Tap Sign in & security , then Email addresses under Account access . Tap Add email address . For security purposes, you may be prompted to enter a verification code sent to your primary email address or to approve the change through your LinkedIn app. Enter the new email address. Enter your LinkedIn password for confirmation and tap Submit . Log in to your email account and follow the prompts in the email to validate your new address. If you'd like to make your new email address your primary address, tap Make primary below to the email address you've added. Tap Remove next to an email address to delete it. Important to know In case you see a toggle next to your recently added & confirmed email, please turn it on in case you need to activate a license or access one of our products (such as Sales Navigator) using that e-mail. Turning on the toggle switch will not prompt you to reset your password. To add and confirm or remove an email address: Tap your profile photo, then Settings . Tap Sign in & security , then Email addresses . Tap Add email address . For security purposes, you may be prompted to enter a verification code sent to your primary email address or to approve the change through your LinkedIn app. Enter the new email address. Enter your LinkedIn password for confirmation and tap Submit . Log in to your email account and follow the prompts in the email to validate your new address. If you'd like to make your new email address your primary address, tap Make primary next to the email address you've added. Tap Remove next to an email address to delete it. Important to know In case you see a toggle next to your recently added & confirmed email, please turn it on in case you need to activate a license or access one of our products (such as Sales Navigator) using that e-mail. Turning on the toggle switch will not prompt you to reset your password. Related links Benefits of adding a second email addresses to your account No access to email address Remove an Email address from your LinkedIn account Email address is already registered Tagged in Your Profile Basics Account Access Account Settings Recruiter Lite Related articles Cancel LinkedIn Premium subscription Premium free trial expiration notification LinkedIn Premium free trial LinkedIn Contact us Select a language. The page will automatically refresh after a language has been selected. العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) LinkedIn Corporation © 2026 About Transparency Center Privacy and Terms Cookies Copyright Terms Privacy Guest controls Dismiss Privacy and Terms menu LinkedIn Corporation © 2026 | 2026-01-13T09:29:17 |
https://www.linkedin.com/uas/login?session_redirect=%2Fproducts%2Frd-station-rd-station-conversas%3FviewConnections%3Dtrue&trk=products_details_guest_face-pile-cta | LinkedIn Login, Sign in | LinkedIn Sign in Stay updated on your professional world. Email or phone Password Show Forgot password? Sign in or By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in with Apple Sign in with a passkey We’ve emailed a one-time link to your primary email address Click on the link to sign in instantly to your LinkedIn account. If you don’t see the email in your inbox, check your spam folder. Resend email Back New to LinkedIn? Join now Agree & Join LinkedIn By clicking Continue, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . LinkedIn © 2026 User Agreement Privacy Policy Community Guidelines Cookie Policy Copyright Policy Send Feedback Language العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) | 2026-01-13T09:29:17 |
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https://www.linkedin.com/products/palmirasoftwarehouse-aris/?trk=products_seo_search | ARIS Process Management by Palmira | LinkedIn Skip to main content LinkedIn Palmira Software House in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in ARIS Process Management by Palmira Business Process Management Software by Palmira Software House See who's skilled in this Add as skill Learn more Report this product About Business process analysis your way! ARIS is available in different editions to fit the needs of your organization. Looking to start now with minimal investment? ARIS Elements is designed to kickstart your first process improvement project. ARIS Advanced is designed for those who have reached a level of maturity that requires customization and advanced user management. With ARIS Enterprise you can establish a full-scale enterprise BPA program using the complete ARIS capabilities stack. Media Products media viewer No more previous content ARIS Journey This is a sample of purchase journey in ARIS ARIS Process Mining ARIS helps you read your processes ARIS process modeling You can model your processes in ARIS using different notations, The picture shows the process flow in EPC diagram ARIS Customer Journey Model and analyse every touchpoint in your customer journey No more next content Similar products ServiceNow AI Platform ServiceNow AI Platform Business Process Management Software Amdocs TechInsights Amdocs TechInsights Business Process Management Software HCL Domino HCL Domino Business Process Management Software Skan AI Process Intelligence Platform Skan AI Process Intelligence Platform Business Process Management Software Business Cockpit Business Cockpit Business Process Management Software CaseXellence CaseXellence Business Process Management Software Sign in to see more Show more Show less Palmira Software House products ALFABET ALFABET IT Asset Management Software Cloudera Cloudera Big Data Processing & Distribution Software Liferay Liferay Digital Experience Platforms (DXP) MetrixPlus MetrixPlus Corporate Performance Management (CPM) Software OrgPlus OrgPlus Org Chart Software Palmira Professional Services on KNIME Software Palmira Professional Services on KNIME Software Data Science & Machine Learning Platforms SyncPlus SyncPlus Requirements Management Software webMethods webMethods Cloud Integration Software Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://huggingface.co/datasets?modality=modality%3Aimage | Image Datasets – Hugging Face Hugging Face Models Datasets Spaces Community Docs Enterprise Pricing Log In Sign Up 1T","label":"> 1T","type":"size_categories"}],"format":[{"id":"format:json","label":"json","type":"format"},{"id":"format:csv","label":"csv","type":"format"},{"id":"format:parquet","label":"parquet","type":"format"},{"id":"format:optimized-parquet","label":"optimized-parquet","type":"format"},{"id":"format:imagefolder","label":"imagefolder","type":"format"},{"id":"format:audiofolder","label":"soundfolder","type":"format"},{"id":"format:webdataset","label":"webdataset","type":"format"},{"id":"format:text","label":"text","type":"format"},{"id":"format:arrow","label":"arrow","type":"format"}],"benchmark":[{"id":"benchmark:official","label":"Benchmark","type":"benchmark"}]},"numItemsPerPage":30,"numTotalItems":64746,"pageIndex":0,"searchQuery":"","sortBy":""}}"> Edit Datasets filters Main Tasks Libraries Languages Licenses Other Modalities Reset Modalities 3D Audio Document Geospatial Image Tabular Text Time-series Video Size (rows) Reset Size < 1K > 1T Format json csv parquet optimized-parquet imagefolder soundfolder webdataset text arrow Evaluation Benchmark Apply filters Datasets 64,746 Full-text search Edit filters Sort: Trending Active filters: image Clear all xiuhuywh/DRIM-VisualReasonHard Viewer • Updated 4 days ago • 17.1k • 1.8k • 96 xiuhuywh/DRIM-ColdstartSFT Viewer • Updated 4 days ago • 44.3k • 4.93k • 84 DatologyAI/DatBench Viewer • Updated 2 days ago • 43.5k • 286 • 68 ScienceOne-AI/S1-MMAlign Viewer • Updated 8 days ago • 21.1M • 7.54k • 70 edc505/pokemon Viewer • Updated Sep 12, 2022 • 369 • 2.35k • 60 DatologyAI/DatBench-Full Viewer • Updated 7 days ago • 195k • 231 • 46 Rapidata/bananamark-dataset Viewer • Updated Dec 12, 2025 • 2.16k • 62 • 28 OmniAICreator/ASMR-Archive-Processed Viewer • Updated 4 days ago • 17.2M • 24.9k • 60 bshada/open-schematics Viewer • Updated 27 days ago • 84.5k • 12.1k • 151 huggan/wikiart Viewer • Updated Mar 22, 2023 • 11.3k • 4.54k • 200 UniParser/OmniScience Viewer • Updated about 6 hours ago • 1.53M • 585 • 11 ai-enthusiasm-community/flickr30k-vietnamese Viewer • Updated 2 days ago • 159k • 73 • 8 Rajarshi-Roy-research/Defactify_Image_Dataset Viewer • Updated Nov 29, 2025 • 96k • 112 • 8 HAERAE-HUB/HAERAE-VISION Viewer • Updated about 8 hours ago • 165 • 88 • 7 ylecun/mnist Viewer • Updated Aug 8, 2024 • 70k • 66.7k • 223 cais/hle Viewer • Updated Sep 10, 2025 • 2.5k • 20.3k • 652 openai/gdpval Viewer • Updated Sep 25, 2025 • 220 • 26.3k • 436 gaia-benchmark/GAIA Viewer • Updated Oct 28, 2025 • 932 • 16.3k • 588 CaiYuanhao/DiffusionGS Viewer • Updated 14 days ago • 119 • 2.63k • 10 ILSVRC/imagenet-1k Viewer • Updated Sep 17, 2025 • 1.43M • 73.2k • 701 x1101/nsfw-full Viewer • Updated Mar 26, 2023 • 126 • 483 • 32 jtatman/stable-diffusion-prompts-stats-full-uncensored Viewer • Updated Nov 8, 2024 • 897k • 768 • 109 liyyy/ComplexBench-Edit Viewer • Updated Jun 17, 2025 • 763 • 37 • 5 Codatta/MM-Food-100K Viewer • Updated Aug 18, 2025 • 100k • 690 • 53 jbarrow/CommonForms Viewer • Updated Nov 16, 2025 • 487k • 1.45k • 50 neurlang/Minecraft-Skins-Captioned-1M Viewer • Updated Oct 14, 2025 • 1M • 79 • 5 shubh303/open-world-dense-object-detection Viewer • Updated 8 days ago • 8k • 58 • 4 ai-enthusiasm-community/coco-2017-vietnamese Viewer • Updated 2 days ago • 617k • 98 • 4 Kingdrone-Junjue/EarthVLSet Preview • Updated 5 days ago • 120 • 4 Atnafu/Afri-MCQA Viewer • Updated about 18 hours ago • 14.6k • 183 • 4 Previous 1 2 3 ... 100 Next System theme Company TOS Privacy About Careers Website Models Datasets Spaces Pricing Docs | 2026-01-13T09:29:17 |
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https://huggingface.co/datasets/xiuhuywh/DRIM-VisualReasonHard | xiuhuywh/DRIM-VisualReasonHard · Datasets at Hugging Face Hugging Face Models Datasets Spaces Community Docs Enterprise Pricing Log In Sign Up Datasets: xiuhuywh / DRIM-VisualReasonHard like 96 Modalities: Image Text Formats: json Size: 10K - 100K ArXiv: arxiv: 2512.17306 Libraries: Datasets pandas Polars + 1 License: apache-2.0 Dataset card Data Studio Files Files and versions xet Community 1 \nWhat symbol is featured on the warrior’s chest armor?"},"solution":{"kind":"string","value":"A heart"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":1,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_5.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_5.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_5"},"problem":{"kind":"string","value":" \nWhat are the two colors of the curved swoosh logo in the bottom right corner of the scene?"},"solution":{"kind":"string","value":"Red and green"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":2,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_70.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_70.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_70"},"problem":{"kind":"string","value":" \nIn the decorative bird artwork within the cage, what kind of pattern decorates the blue patch on its wing?"},"solution":{"kind":"string","value":"Black spots"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":3,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_47.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_47.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_47"},"problem":{"kind":"string","value":" \nIn the U-Net refine network’s DownBlock_i module, what is the stride value of the first Conv layer?"},"solution":{"kind":"string","value":"2"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":4,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_39.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_39.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_39"},"problem":{"kind":"string","value":" \nWhat is the third large red Chinese character on the blue shop sign?"},"solution":{"kind":"string","value":"理"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":5,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_81.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_81.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_81"},"problem":{"kind":"string","value":" \nWhat is the shape of the repeated decorative elements along the bottom edge of the dress?"},"solution":{"kind":"string","value":"Oval"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":6,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_79.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_79.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_79"},"problem":{"kind":"string","value":" \nWhat two-digit number appears after the period in the artist’s signature at the bottom right of the painting?"},"solution":{"kind":"string","value":"06"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":7,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_33.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_33.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_33"},"problem":{"kind":"string","value":" \nIn the original image, what color is the prominent stripe on the front section of the public transport vehicle crossing the bridge?"},"solution":{"kind":"string","value":"Yellow"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":8,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_78.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_78.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_78"},"problem":{"kind":"string","value":" \nIn the city skyline at sunset, what color outlines the top of the twin high-rise towers?"},"solution":{"kind":"string","value":"Green"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":9,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_54.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_54.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_54"},"problem":{"kind":"string","value":" \nWhat four-letter word is printed on the dome of the large teal mech in the center of the scene?"},"solution":{"kind":"string","value":"CTAN"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":10,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_22.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_22.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_22"},"problem":{"kind":"string","value":" \nWhat hotel chain is identified by the white sign above the building entrance in the image?"},"solution":{"kind":"string","value":"JW Marriott"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":11,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_48.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_48.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_48"},"problem":{"kind":"string","value":" \nWhat symbol is depicted on the center of the knight’s chest plate?"},"solution":{"kind":"string","value":"A silver cross with pointed ends"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":12,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_24.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_24.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_24"},"problem":{"kind":"string","value":" \nIn the context of the suitcase collection, what city name is printed on the circular sticker attached to the dark suitcase at the bottom-left of the image?"},"solution":{"kind":"string","value":"Barcelona"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":13,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_59.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_59.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_59"},"problem":{"kind":"string","value":" \nWhat network name is displayed on the microphone immediately to the right of the interviewee?"},"solution":{"kind":"string","value":"FOX Local First"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":14,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_53.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_53.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_53"},"problem":{"kind":"string","value":" \nIn the context of the artwork, what common musical notation element is depicted by the five parallel horizontal lines within the innermost rectangle?"},"solution":{"kind":"string","value":"A musical staff"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":15,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_57.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_57.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_57"},"problem":{"kind":"string","value":" \nWhat number is written on the white chocolate disk placed on the top tier of the cake?"},"solution":{"kind":"string","value":"50"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":16,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_40.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_40.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_40"},"problem":{"kind":"string","value":" \nIn the original image, what is the primary color of the large planter pot holding the flowering shrubs by the poolside dining area?"},"solution":{"kind":"string","value":"Turquoise"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":17,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_55.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_55.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_55"},"problem":{"kind":"string","value":" \nIn the original image, what brand name is printed on the blue-and-white label of the rolled-up tube stored under the table?"},"solution":{"kind":"string","value":"U-HAUL"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":18,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_3.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_3.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_3"},"problem":{"kind":"string","value":" \nIn the misty mountain scene, what is the color of the cable car cabins?"},"solution":{"kind":"string","value":"Red"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":19,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_88.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_88.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_88"},"problem":{"kind":"string","value":" \nWhat is the highest numbered marking shown on the dial of the kitchen scale in the image?"},"solution":{"kind":"string","value":"1000"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":20,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_29.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_29.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_29"},"problem":{"kind":"string","value":" \nIn the original underwater scene, what color is the small fish that is partially hidden beneath the large sponge-like coral structure?"},"solution":{"kind":"string","value":"orange"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":21,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_21.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_21.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_21"},"problem":{"kind":"string","value":" \nIn the context of the artistic signature on the painting, what month number is included in the date inscription?"},"solution":{"kind":"string","value":"6"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":22,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_16.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_16.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_16"},"problem":{"kind":"string","value":" \nWhat is the first character in the top-right column of the original image?"},"solution":{"kind":"string","value":"離"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":23,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_86.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_86.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_86"},"problem":{"kind":"string","value":" \nWhat symbol is carved in the center of the front pediment of the main church building?"},"solution":{"kind":"string","value":"A cross"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":24,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_35.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_35.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_35"},"problem":{"kind":"string","value":" \nWhat color is the horizontal band adorning the small ceramic containers on the center table?"},"solution":{"kind":"string","value":"Blue"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":25,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_34.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_34.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_34"},"problem":{"kind":"string","value":" \nWhich major Florida city is identified by the brightest cluster of lights near the center of this nighttime coastal image segment?"},"solution":{"kind":"string","value":"Jacksonville"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":26,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_63.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_63.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_63"},"problem":{"kind":"string","value":" \nWhat Chinese phrase is written directly below the flower logo in the central red circular emblem on the stage?"},"solution":{"kind":"string","value":"长安十二时辰"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":27,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_44.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_44.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_44"},"problem":{"kind":"string","value":" \nIn the original image, what letter is featured on the metallic ornament of the performer’s shoes?"},"solution":{"kind":"string","value":"V"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":28,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_69.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_69.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_69"},"problem":{"kind":"string","value":" \nIn the context of the basketball game image, what number is shown on the shot clock above the backboard?"},"solution":{"kind":"string","value":"26"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":29,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_9.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_9.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_9"},"problem":{"kind":"string","value":" \nIn the original image, what is the primary color of the small triangular roof structure located at the bottom of the ridge?"},"solution":{"kind":"string","value":"Gray"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":30,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_76.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_76.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_76"},"problem":{"kind":"string","value":" \nWhat are the two colors of the horizontal stripes painted on the cylindrical bins along the shoreline?"},"solution":{"kind":"string","value":"Red and blue"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":31,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_17.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_17.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_17"},"problem":{"kind":"string","value":" \nIn the original image, what color is the small fallen leaf resting on the moss-covered rock?"},"solution":{"kind":"string","value":"Orange"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":32,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_62.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_62.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_62"},"problem":{"kind":"string","value":" \nIn the original image, what regular polygon shape do the central scales on the chameleon’s head ridge most closely resemble?"},"solution":{"kind":"string","value":"Hexagon"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":33,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_50.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_50.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_50"},"problem":{"kind":"string","value":" \nIn the zoomed-in region, what is the color of the exposed interior of the peppercorn with the chunk missing?"},"solution":{"kind":"string","value":"Bright red"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":34,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_46.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_46.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_46"},"problem":{"kind":"string","value":" \nIn the displayed commutative diagram, what is the exact label of the arrow pointing from F_{α−mi,mi} to E_{Vα}?"},"solution":{"kind":"string","value":"ι_{α−mi,mi}"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":35,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_11.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_11.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_11"},"problem":{"kind":"string","value":" \nWhat is the exact text displayed on the prominent shop sign in the marketplace?"},"solution":{"kind":"string","value":"SHOP IMIMISA"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":36,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_18.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_18.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_18"},"problem":{"kind":"string","value":" \nIn the snowy background behind the bear, which type of evergreen tree is partially visible?"},"solution":{"kind":"string","value":"fir"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":37,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_43.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_43.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_43"},"problem":{"kind":"string","value":" \nWhat text is written on the blue sign attached to the building?"},"solution":{"kind":"string","value":"TAX FREE"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":38,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_58.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_58.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_58"},"problem":{"kind":"string","value":" \nWhat three-digit number is printed on the pen in the image?"},"solution":{"kind":"string","value":"003"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":39,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_49.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_49.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_49"},"problem":{"kind":"string","value":" \nIn the original figure, what equation number is assigned to the definition of the L_{p1} loss?"},"solution":{"kind":"string","value":"2"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":40,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_12.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_12.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_12"},"problem":{"kind":"string","value":" \nIn the floating moonlit scene, what letter shape does the clasp on the character’s bag form?"},"solution":{"kind":"string","value":"H"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":41,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_91.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_91.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_91"},"problem":{"kind":"string","value":" \nOn the building with the red vertical strip in the darker foreground, what direction does the white arrow symbol above the strip point?"},"solution":{"kind":"string","value":"Up"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":42,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_77.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_77.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_77"},"problem":{"kind":"string","value":" \nIn the original image, what is the title of the bar chart shown in the top-left quadrant of the rightmost tablet’s screen?"},"solution":{"kind":"string","value":"Private Corporate Sector"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":43,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_0.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_0.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_0"},"problem":{"kind":"string","value":" \nIn the original image, what material composes the intersecting diagonal supports hidden among the greenery?"},"solution":{"kind":"string","value":"wood"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":44,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_83.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_83.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_83"},"problem":{"kind":"string","value":" \nWhat are the two Chinese characters written on the sign above the archway in the scene?"},"solution":{"kind":"string","value":"玄武门"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":45,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_64.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_64.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_64"},"problem":{"kind":"string","value":" \nWhat natural pattern is visible on the cut surface of the main wooden support post?"},"solution":{"kind":"string","value":"Concentric tree rings"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":46,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_92.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_92.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_92"},"problem":{"kind":"string","value":" \nIn the context of the cityscape, what single digit is painted prominently on the rooftop of the central dark skyscraper?"},"solution":{"kind":"string","value":"2"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":47,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_87.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_87.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_87"},"problem":{"kind":"string","value":" \nIn the context of the futuristic metallic panel shown, what two-digit number is prominently painted in red?"},"solution":{"kind":"string","value":"42"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":48,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_28.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_28.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_28"},"problem":{"kind":"string","value":" \nWhat is the name of the market printed on the hanging sign behind the scale?"},"solution":{"kind":"string","value":"Butterfield Market"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":49,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_13.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_13.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_13"},"problem":{"kind":"string","value":" \nIn the original image, what color is the pin head inserted into the head of the fashion illustration sketch?"},"solution":{"kind":"string","value":"Red"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":50,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_27.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_27.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_27"},"problem":{"kind":"string","value":" \nIn the original image, what single word is printed on the side of the girl's sneaker?"},"solution":{"kind":"string","value":"SPORT"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":51,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_95.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_95.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_95"},"problem":{"kind":"string","value":" \nWhat is the shape of the opening in the rooftop framework visible on one of the buildings in the village?"},"solution":{"kind":"string","value":"Square"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":52,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_74.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_74.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_74"},"problem":{"kind":"string","value":" \nWhat four Chinese characters are written on the red sign at the top of the archway in the image?"},"solution":{"kind":"string","value":"海壇古城"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":53,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_52.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_52.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_52"},"problem":{"kind":"string","value":" \nIn the painting’s lower right corner, what surname appears in the artist’s handwritten signature?"},"solution":{"kind":"string","value":"Courbet"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":54,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_15.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_15.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_15"},"problem":{"kind":"string","value":" \nIn the aerial view of the railway station, what two Chinese characters are displayed in red on the station's curved roof?"},"solution":{"kind":"string","value":"徐州"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":55,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_2.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_2.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_2"},"problem":{"kind":"string","value":" \nIn the scene, what exact model designation is printed on the paddleboard?"},"solution":{"kind":"string","value":"ESPADON.11"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":56,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_117.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_117.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_117"},"problem":{"kind":"string","value":" \nAccording to the main title in the image, what volume number is indicated in Chinese numerals?"},"solution":{"kind":"string","value":"一萬四百八十四"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":57,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_99.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_99.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_99"},"problem":{"kind":"string","value":" \nWhat two-digit number appears next to the artist’s signature on the painting?"},"solution":{"kind":"string","value":"27"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":58,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_30.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_30.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_30"},"problem":{"kind":"string","value":" \nWhat exact words are displayed on the illuminated sign atop the building in the cityscape?"},"solution":{"kind":"string","value":"WESTERN AUTO"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":59,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_4.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_4.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_4"},"problem":{"kind":"string","value":" \nWhat Roman numeral is printed on the front of the conductor’s red platform in the concert hall?"},"solution":{"kind":"string","value":"V"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":60,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_45.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_45.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_45"},"problem":{"kind":"string","value":" \nWhat symbol is depicted inside the red triangular warning sign on the small lighthouse?"},"solution":{"kind":"string","value":"A black exclamation mark"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":61,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_73.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_73.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_73"},"problem":{"kind":"string","value":" \nIn the original image, what number is inscribed beside the standing Buddha figure with its right hand raised?"},"solution":{"kind":"string","value":"270"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":62,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_106.jpg"],"string":"[\n \"VisualReansonHard/data/visual_reanson_hr_106.jpg\"\n]"},"doc_id":{"kind":"string","value":"visual_reanson_hr_106"},"problem":{"kind":"string","value":" \nIn the original image, what is the solid fill color of the flower petals shown at the bottom left of the zoomed-in area?"},"solution":{"kind":"string","value":"red"},"data_source":{"kind":"string","value":"visual_reanson_hr"}}},{"rowIdx":63,"cells":{"images":{"kind":"list like","value":["VisualReansonHard/data/visual_reanson_hr_20.jpg"],"string":"[\n \"VisualReanso | 2026-01-13T09:29:17 |
https://www.zoho.com/campaigns/email-marketing-demo.html?zc_src=linkedinpp&trk=products_details_guest_secondary_call_to_action | Request an email marketing demo | Zoho Campaigns Thanks for contacting us! We'll be in touch with you shortly. Less hassle. More hustle. Focus on revenue-driving tasks and build customer connections with a refined email marketing strategy for your business. Get a tailored product tour and learn how Zoho Campaigns helps you: Create actionable email campaigns Build and grow your email list Automate your workflows Generate more leads The best part? We shape the product tour to address your specific needs. Want to know more? Feel free to reach out to us at 1800 103 1123 1800 572 3535 Or write to us at sales@zohocampaigns.com support@zohocampaigns.com "With Zoho Campaigns, our teams at Thinking Maps can now target their audience better and use analytics to send more effective campaigns." Charly Simmons Strategic Partnership Executive at Thinking Maps, Inc. "With the Chain and Child campaign features, sending follow-up emails has become easier." Deepika Radhu Senior Manager, Fundraising Operations from Save the Children "My favorite thing about Zoho Campaigns is their terrific support." Joann Farb Author Submit your requirements here, and we will get in touch with you shortly. | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/categories/webinar-software | Best Webinar Software | Products | LinkedIn Skip to main content LinkedIn Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Clear text Used by Used by Marketing Manager (7) Marketing Director (4) Demand Generation Manager (3) Marketing Specialist (3) Chief Executive Officer (3) See all products Find top products in Webinar Software category Software used to create and conduct interactive virtual seminars. - Host online events with presenters and live audiences of up to thousands - Register attendees with authorization credentials, record feedback with polls and surveys, and analyze attendee and event information - Combine video conferencing with audio-visual presentation materials, record for later viewing, and collaborate in-session with chat and other features 56 results Zoho Webinar Webinar Software by Zoho Discover Zoho Webinar: your trusted, robust, and secure online learning solution. Seamlessly host dynamic live webinars using our intuitive platform. Captivate your audience with live streaming, integrated videos, and virtual conferences. Our Mobile Webinar feature ensures universal accessibility. Elevate your brand with customizable branding for a polished and professional touch. Step into the realm of virtual collaboration and knowledge exchange with Zoho Webinar! View product Intermedia Anymeeting Webinars Webinar Software by Intermedia Intelligent Communications Our webinar solution includes a rich set of live webinar features such as HD quality video with multiple presenters on video, screen sharing, presentation upload support and file sharing, audience polling, Q&A and chat (public and private chat for presenters), cloud recording, and audience waiting room. In addition to these real-time capabilities, the solution also allows for email blast invites (up to 3,000 emails), custom registration form development and hosting, post-webinar surveys, and a “Webinar Hub” that allows hosts to publicly list all of their upcoming webinars and recordings. The platform also includes reporting capabilities for webinar registration and attendance, as well as integration with Zapier, which facilitates further integrations with external CRMs and marketing platforms. View product BrightTALK Channel Webinar Software by BrightTALK Professionals today expect more engaging, interactive and human experiences online. BrightTALK makes that easy with unlimited webinars and videos in modern HTML5 players that can be embedded anywhere, as well as one-time registration and instant on-demand. Reaching an opt-in audience of millions of professionals, marketers typically see 60-90% growth in conversions compared to alternative platforms. Includes real-time integration with leading CRM and marketing automation platforms. View product Livestorm Webinar Software by Livestorm Livestorm is the #1 solution for organizing and hosting engaging webinars, designed with simplicity at heart. Empower your teams to create dynamic webinars in minutes using our intuitive and highly customizable platform. Livestorm is your unified platform for any event. From product demos and live marketing events to online trainings. Customization: Tailor your events with branded layouts, custom backgrounds, and seamless integration into your workflow. Efficiency: Enjoy plug-and-play simplicity with CRM and marketing automation integrations, calendar sync (Google, Outlook), and registration widgets. Engagement: Host dynamic discussions with Q&A, polls, virtual whiteboards, and emoji reactions. Scalability: From 2 to thousands of attendees, Livestorm adapts to your needs with multi-language support and unlimited replay storage. Secure: Built on EU servers and ISO 27001 certified, Livestorm ensures the safety of your data while offering the most complete webinar experience. View product WebinarJam Webinar Software by WebinarJam WebinarJam's cloud-based broadcasting technology allows you to reach up to 5000 people in one presentation without breaking a sweat (or breaking the bank). View product Find products trusted by professionals in your network See which products are used by connections in your network and those that share similar job titles Sign in to view full insights Webinar Management Software Webinar Software by Glue Up Provide attendees with premium and seamless experience that gives them access to presentations, agenda, as well as, ability to connect and chat with each other during live events. View product WebinarGeek Webinar Software by WebinarGeek Webinar software designed to help you build real connections with your audience. With our marketing and interaction tools, you easily reach your goals! View product Webinars Webinar Software by Bookingfax Seminarios online dirigidos a nuestra base de datos de agentes de viaje. Promociona tu empresa o destino de cara a los más de 349 asistentes que congregamos de media. View product Eventials Platform Webinar Software by Eventials Complete webinars, training and events solution for you engage people, capture leads and broadcast live events with agility and economy. View product Contrast Webinar Software by Contrast Host engaging webinars that people watch till the end. Fun, engaging and authentic. Start for free. No credit card. No downloads. View product See more How it works Explore Discover the best product for your need from a growing catalog of 25,000 products and categories trusted by LinkedIn professionals Learn Evaluate new tools, explore trending products in your industry and see who in your network is skilled in the product Grow Join communities of product users to learn best practices, celebrate your progress and accelerate your career LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/categories/container-security-software | Best Container Security Software | Products | LinkedIn Skip to main content LinkedIn Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Clear text Used by Used by Software Engineer (4) Security Engineer (3) Chief Information Security Officer (3) Information Technology Manager (3) Cyber Security Specialist (2) See all products Find top products in Container Security Software category Software used to protect containerized applications from vulnerabilities and policy violations. - Scan container stack for image vulnerabilities and monitor container networks and pipelines - Enforce access and security policies with automatic detection and centralized reporting - Use DevOps integration to manage access and security at all stages of development - Enhance visibility with runtime features and container performance tracking 26 results Chainguard Containers Container Security Software by Chainguard Secure-by-default container images Build software better with minimal, zero-CVE container images guarded under our industry-leading remediation SLA. Secure container images for modern applications *Reduce costly engineering toil Adopt inherently secure software so engineers can spend more time shipping products and less time patching CVEs. 4 hrs/month per developer saved on vulnerability management. *Secure your open source foundation Rely on trusted open source to improve your security posture and reduce the attack surface for bad actors. 97.6% reduction in CVEs compared to OSS equivalents *Simplify continuous compliance Solve critical compliance controls by default to reduce overhead costs and get products to market faster. 400+ FIPS Images with OS-level STIG hardening. View product Kaspersky Container Security Container Security Software by Kaspersky A security solution that covers every stage of a containerized app's lifecycle, from development to operation. It protects your organization's business processes in line with security standards and regulations and supports implementation of the DevSecOps approach. It's developed specifically for on‑premise and cloud containerized environments, ensuring protection at different levels from container image to host OS. View product Calico Cloud Container Security Software by Tigera Calico Cloud is a fully-managed SaaS platform that provides unified network security and observability to prevent, detect and mitigate security breaches in Kubernetes clusters. It is built on Calico Open Source, the most widely adopted container networking and security solution. View product Mend Container Container Security Software by Mend.io Mend Container scans your container images and registries at scale. It uncovers vulnerabilities, license risks, and even exposed secrets before deployment. Mend Container includes: -Reachability analysis that works without installing runtime agents to identify which vulnerable files and methods are being called at runtime, allowing you to safely deprioritize more vulnerabilities that are not reachable than if you were using reachability in Mend SCA alone. - Comprehensive container security starting with scanning a static image in your pipeline using Mend SCA and moving all the way to analyzing your container’s behavior for security risks in runtime with Mend Container. - Secrets detection that identifies in an image any credentials, passwords, keys, and certificates being exposed or handled inappropriately. - Scanning of all your running container images within your Kubernetes clusters, letting you easily find and label containers that are actually in use and deployed. View product ATP Container Security Software by Ansen Technology The experienced expertise team of Ansen can help customers with industry-leading security services to fulfill higher targets, including consultation, penetration testing, security maintenance and operations, incident response and managed services. View product Find products trusted by professionals in your network See which products are used by connections in your network and those that share similar job titles Sign in to view full insights Calico Enterprise Container Security Software by Tigera Calico Enterprise is a self-managed platform for unified network security and observability to prevent, detect and mitigate security breaches in Kubernetes clusters. It is built on Calico Open Source, the most widely adopted container networking and security solution. View product Information Security Services Container Security Software by JK Consultoria Protect your data, systems and networks against cyber threats with our specialized solutions: ✅ Security Consulting and Management – Risk assessment, compliance (LGPD, ISO 27001) and development of security policies. ✅ Incident Monitoring and Response – 24/7 SOC, threat detection, vulnerability analysis and rapid incident response. ✅ Network and Infrastructure Protection – Firewall, IDS/IPS, secure VPN, network segmentation and security for hybrid environments. ✅ Data and Identity Security – Encryption, DLP, IAM, SSO, MFA and protection against information leaks. ✅ Security Testing and Pentest – Attack simulation, secure code analysis and identification of critical vulnerabilities. ✅ Training and Awareness – Phishing simulations, security training for employees and IT team training. 🔐 Tailor-made solutions for companies of all sizes. Contact us and strengthen your digital security! View product 53-HSM CONNECTOR Container Security Software by AM53 Smart Solutions Payment HSM as a Service API’s para funções criptográficas usando Payment HSM’s payShield (Host Security Module da Thales e-Security). Características Ideal para entidades que querem tirar ao máximo o potencial do seu hardware de segurança HSM em forma eficiente. Pode ser utilizado como sistema: - Gestor para serviços aaS de Criptografia. - Para transformar a interface TCP/IP do(s) HSM(s) em uma interface JSON HTTP Rest mais amigável e fácil de implementar. Roda em Sistemas Operacionais Unix / Linux / Windows. View product Deepfence Container Security Software by Deepfence Inc One platform, all your cloud security needs, zero alert fatigue. ThreatMapper, Deepfence’s enterprise-grade open-source cloud-native application protection platform, helps organizations build a ThreatGraph of their cloud environment to reduce 97% of the noise from security scan results. 100% open source, cloud-native application protection platform (CNAPP) for scanning, mapping, and ranking vulnerabilities in running containers, images, hosts, and repositories. View product Contrast Container Security Software by Edgeless Systems Contrast integrates Confidential Containers, based on Kata Containers, seamlessly with existing managed Kubernetes platforms, adding a layer of confidential computing without disrupting workflows. View product See more How it works Explore Discover the best product for your need from a growing catalog of 25,000 products and categories trusted by LinkedIn professionals Learn Evaluate new tools, explore trending products in your industry and see who in your network is skilled in the product Grow Join communities of product users to learn best practices, celebrate your progress and accelerate your career LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English Language | 2026-01-13T09:29:17 |
https://scholar.google.com/citations?user=_x1UNBsAAAAJ&hl=ko&oe=ASCII | Weiqing Li - Google 학술 검색 로드 중... 현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요. 연간 인용횟수 중복된 서지정보 다음 학술 문서는 학술검색에서 병합되어 있습니다. 총 인용 횟수가 첫 번째 학술 문서에 대해서만 계산됩니다. 병합된 서지정보 이 '인용' 횟수는 학술검색의 다음 학술 문서에 대한 인용문을 포함합니다. * 표시된 인용문은 프로필에 있는 학술 문서와 다를 수 있습니다. 공동 저자 추가 공동 저자 팔로우 이 저자의 새 학술자료 이 저자를 인용한 새 학술자료 이 저자의 연구와 관련된 새 학술자료 업데이트를 받을 이메일 주소 완료 죄송합니다. 현재 Internet Explorer 버전에서는 일부 기능이 작동하지 않을 수 있습니다. 최적의 상태로 사용하려면 Chrome 또는 Mozilla Firefox 를 사용해 주세요. 내 프로필 내 서재 통계 알리미 설정 로그인 로그인 내 프로필 만들기 인용 모두 보기 전체 2021년 이후 서지정보 886 228 h-index 9 8 i10-index 9 7 0 160 80 40 120 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 30 103 112 121 157 126 86 56 32 29 22 3 공개 액세스 모두 보기 모두 보기 자료 2개 자료 0개 공개 비공개 재정 지원 요구사항 기준 공동 저자 Shouling Ji Professor, Zhejiang University & Georgia Institute of Technology gatech.edu의 이메일 확인됨 팔로우 Weiqing Li Georgia Institute of Technology gatech.edu의 이메일 확인됨 Big Data Privacy Data Analytics Social Networks 학술자료 인용 공개 액세스 공동 저자 제목 정렬 서지정보순 정렬 연도순 정렬 제목순 정렬 인용 인용 연도 {CoVisor}: a compositional hypervisor for {software-defined} networks X Jin, J Gossels, J Rexford, D Walker 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI�… , 2015 362 * 2015 Structural data de-anonymization: Quantification, practice, and implications S Ji, W Li, M Srivatsa, R Beyah Proceedings of the 2014 ACM SIGSAC conference on computer and communications�… , 2014 140 2014 On your social network de-anonymizablity: Quantification and large scale evaluation with seed knowledge. S Ji, W Li, NZ Gong, P Mittal, RA Beyah NDSS , 2015 114 2015 Structure based data de-anonymization of social networks and mobility traces S Ji, W Li, M Srivatsa, JS He, R Beyah International Conference on Information Security, 237-254 , 2014 77 2014 General graph data de-anonymization: From mobility traces to social networks S Ji, W Li, M Srivatsa, JS He, R Beyah ACM Transactions on Information and System Security (TISSEC) 18 (4), 1-29 , 2016 47 2016 Structural data de-anonymization: Theory and practice S Ji, W Li, M Srivatsa, R Beyah IEEE/ACM Transactions on Networking 24 (6), 3523-3536 , 2016 40 2016 Seed-based de-anonymizability quantification of social networks S Ji, W Li, NZ Gong, P Mittal, R Beyah IEEE Transactions on Information Forensics and Security 11 (7), 1398-1411 , 2016 38 2016 De-sag: On the de-anonymization of structure-attribute graph data S Ji, T Wang, J Chen, W Li, P Mittal, R Beyah IEEE Transactions on Dependable and Secure Computing 16 (4), 594-607 , 2017 37 2017 On the relative de-anonymizability of graph data: Quantification and evaluation S Ji, W Li, S Yang, P Mittal, R Beyah IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer�… , 2016 24 2016 Poster: Optimization based data de-anonymization, 2014 S Ji, W Li, J He, M Srivatsa, R Beyah Poster presented at the 35th IEEE Symposium on Security and Privacy, May 18, 21 , 2014 6 2014 Poster: optimization based data de-anonymization S Ji, W Li, J He, M Srivatsa, R Beyah Poster Presented at the 35th IEEE Symposium on Security and Privacy, May, 18-21 , 0 1 De-Anonymizing Social Networks and Mobility Traces W Li Georgia Institute of Technology , 2016 2016 Supplementary File of “Structural Data De-anonymization: Theory and Practice” S Ji, W Li, M Srivatsa, R Beyah Prateek Mittal Princeton University S Ji, W Li, R Beyah, NZ Gong Efficient Implementation of NIST-Compliant Elliptic Curve Cryptography for 8-bit AVR-Based Sensor Nodes....... Z Liu, H Seo, J Gro�sch�dl, H Kim, S Ji, W Li, NZ Gong, P Mittal, R Beyah, ... Data De-anonymization: From Mobility Traces to On-line Social Networks S Ji, W Li, M Srivatsa, JS He, R Beyah Poster: De-anonymizing Mobility Traces and Social Data using Social Auxiliary Information S Ji, W Li, M Srivatsa, JS He, R Beyah 현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요. 학술자료 1–17 더보기 개인정보처리방침 약관 도움말 학술검색 정보 검색 도움말 | 2026-01-13T09:29:17 |
https://rust-lang.github.io/rust-clippy/stable/index.html#as_conversions | Clippy Lints Theme Ayu Coal Light Navy Rust Disable keyboard shortcuts Clippy Lints Total number: 795 Lints search and filtering only works with JS enabled. :( Lint levels 4 All None Lint groups 9 All Default None Version 0 Clear filters Applicability 4 All None Filter: Clear absolute_paths ¶ 📋 restriction allow What it does Checks for usage of items through absolute paths, like std::env::current_dir . Why restrict this? Many codebases have their own style when it comes to importing, but one that is seldom used is using absolute paths everywhere . This is generally considered unidiomatic, and you should add a use statement. The default maximum segments (2) is pretty strict, you may want to increase this in clippy.toml . Note: One exception to this is code from macro expansion - this does not lint such cases, as using absolute paths is the proper way of referencing items in one. Known issues There are currently a few cases which are not caught by this lint: Macro calls. e.g. path::to::macro!() Derive macros. e.g. #[derive(path::to::macro)] Attribute macros. e.g. #[path::to::macro] Example let x = std::f64::consts::PI; Use any of the below instead, or anything else: use std::f64; use std::f64::consts; use std::f64::consts::PI; let x = f64::consts::PI; let x = consts::PI; let x = PI; use std::f64::consts as f64_consts; let x = f64_consts::PI; Configuration absolute-paths-allowed-crates : Which crates to allow absolute paths from (default: [] ) absolute-paths-max-segments : The maximum number of segments a path can have before being linted, anything above this will be linted. (default: 2 ) Applicability: Unspecified (?) Added in: 1.73.0 Related Issues View Source absurd_extreme_comparisons ¶ 📋 correctness deny What it does Checks for comparisons where one side of the relation is either the minimum or maximum value for its type and warns if it involves a case that is always true or always false. Only integer and boolean types are checked. Why is this bad? An expression like min <= x may misleadingly imply that it is possible for x to be less than the minimum. Expressions like max < x are probably mistakes. Known problems For usize the size of the current compile target will be assumed (e.g., 64 bits on 64 bit systems). This means code that uses such a comparison to detect target pointer width will trigger this lint. One can use mem::sizeof and compare its value or conditional compilation attributes like #[cfg(target_pointer_width = "64")] .. instead. Example let vec: Vec<isize> = Vec::new(); if vec.len() <= 0 {} if 100 > i32::MAX {} Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source alloc_instead_of_core ¶ 📋 restriction allow What it does Finds items imported through alloc when available through core . Why restrict this? Crates which have no_std compatibility and may optionally require alloc may wish to ensure types are imported from core to ensure disabling alloc does not cause the crate to fail to compile. This lint is also useful for crates migrating to become no_std compatible. Known problems The lint is only partially aware of the required MSRV for items that were originally in std but moved to core . Example use alloc::slice::from_ref; Use instead: use core::slice::from_ref; Applicability: MachineApplicable (?) Added in: 1.64.0 Related Issues View Source allow_attributes ¶ 📋 restriction allow What it does Checks for usage of the #[allow] attribute and suggests replacing it with the #[expect] attribute (See RFC 2383 ) This lint only warns outer attributes ( #[allow] ), as inner attributes ( #![allow] ) are usually used to enable or disable lints on a global scale. Why is this bad? #[expect] attributes suppress the lint emission, but emit a warning, if the expectation is unfulfilled. This can be useful to be notified when the lint is no longer triggered. Example #[allow(unused_mut)] fn foo() -> usize { let mut a = Vec::new(); a.len() } Use instead: #[expect(unused_mut)] fn foo() -> usize { let mut a = Vec::new(); a.len() } Configuration msrv : The minimum rust version that the project supports. Defaults to the rust-version field in Cargo.toml (default: current version ) Applicability: MachineApplicable (?) Added in: 1.70.0 Related Issues View Source allow_attributes_without_reason ¶ 📋 restriction allow What it does Checks for attributes that allow lints without a reason. Why restrict this? Justifying each allow helps readers understand the reasoning, and may allow removing allow attributes if their purpose is obsolete. Example #![allow(clippy::some_lint)] Use instead: #![allow(clippy::some_lint, reason = "False positive rust-lang/rust-clippy#1002020")] Configuration msrv : The minimum rust version that the project supports. Defaults to the rust-version field in Cargo.toml (default: current version ) Applicability: Unspecified (?) Added in: 1.61.0 Related Issues View Source almost_complete_range ¶ 📋 suspicious warn What it does Checks for ranges which almost include the entire range of letters from ‘a’ to ‘z’ or digits from ‘0’ to ‘9’, but don’t because they’re a half open range. Why is this bad? This ( 'a'..'z' ) is almost certainly a typo meant to include all letters. Example let _ = 'a'..'z'; Use instead: let _ = 'a'..='z'; Past names almost_complete_letter_range Configuration msrv : The minimum rust version that the project supports. Defaults to the rust-version field in Cargo.toml (default: current version ) Applicability: MaybeIncorrect (?) Added in: 1.68.0 Related Issues View Source almost_swapped ¶ 📋 correctness deny What it does Checks for foo = bar; bar = foo sequences. Why is this bad? This looks like a failed attempt to swap. Example a = b; b = a; If swapping is intended, use swap() instead: std::mem::swap(&mut a, &mut b); Applicability: MaybeIncorrect (?) Added in: pre 1.29.0 Related Issues View Source approx_constant ¶ 📋 correctness deny What it does Checks for floating point literals that approximate constants which are defined in std::f32::consts or std::f64::consts , respectively, suggesting to use the predefined constant. Why is this bad? Usually, the definition in the standard library is more precise than what people come up with. If you find that your definition is actually more precise, please file a Rust issue . Example let x = 3.14; let y = 1_f64 / x; Use instead: let x = std::f32::consts::PI; let y = std::f64::consts::FRAC_1_PI; Configuration msrv : The minimum rust version that the project supports. Defaults to the rust-version field in Cargo.toml (default: current version ) Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source arbitrary_source_item_ordering ¶ 📋 restriction allow What it does Confirms that items are sorted in source files as per configuration. Why restrict this? Keeping a consistent ordering throughout the codebase helps with working as a team, and possibly improves maintainability of the codebase. The idea is that by defining a consistent and enforceable rule for how source files are structured, less time will be wasted during reviews on a topic that is (under most circumstances) not relevant to the logic implemented in the code. Sometimes this will be referred to as “bikeshedding”. The content of items with a representation clause attribute, such as #[repr(C)] will not be checked, as the order of their fields or variants might be dictated by an external API (application binary interface). Default Ordering and Configuration As there is no generally applicable rule, and each project may have different requirements, the lint can be configured with high granularity. The configuration is split into two stages: Which item kinds that should have an internal order enforced. Individual ordering rules per item kind. The item kinds that can be linted are: Module (with customized groupings, alphabetical within - configurable) Trait (with customized order of associated items, alphabetical within) Enum, Impl, Struct (purely alphabetical) Module Item Order Due to the large variation of items within modules, the ordering can be configured on a very granular level. Item kinds can be grouped together arbitrarily, items within groups will be ordered alphabetically. The following table shows the default groupings: Group Item Kinds modules “mod”, “foreign_mod” use “use” macros “macro” global_asm “global_asm” UPPER_SNAKE_CASE “static”, “const” PascalCase “ty_alias”, “opaque_ty”, “enum”, “struct”, “union”, “trait”, “trait_alias”, “impl” lower_snake_case “fn” The groups’ names are arbitrary and can be changed to suit the conventions that should be enforced for a specific project. All item kinds must be accounted for to create an enforceable linting rule set. Following are some example configurations that may be useful. Example: module inclusions and use statements to be at the top module-item-order-groupings = [ [ "modules", [ "extern_crate", "mod", "foreign_mod" ], ], [ "use", [ "use", ], ], [ "everything_else", [ "macro", "global_asm", "static", "const", "ty_alias", "enum", "struct", "union", "trait", "trait_alias", "impl", "fn", ], ], ] Example: only consts and statics should be alphabetically ordered It is also possible to configure a selection of module item groups that should be ordered alphabetically. This may be useful if for example statics and consts should be ordered, but the rest should be left open. module-items-ordered-within-groupings = ["UPPER_SNAKE_CASE"] Known Problems Performance Impact Keep in mind, that ordering source code alphabetically can lead to reduced performance in cases where the most commonly used enum variant isn’t the first entry anymore, and similar optimizations that can reduce branch misses, cache locality and such. Either don’t use this lint if that’s relevant, or disable the lint in modules or items specifically where it matters. Other solutions can be to use profile guided optimization (PGO), post-link optimization (e.g. using BOLT for LLVM), or other advanced optimization methods. A good starting point to dig into optimization is cargo-pgo . Lints on a Contains basis The lint can be disabled only on a “contains” basis, but not per element within a “container”, e.g. the lint works per-module, per-struct, per-enum, etc. but not for “don’t order this particular enum variant”. Module documentation Module level rustdoc comments are not part of the resulting syntax tree and as such cannot be linted from within check_mod . Instead, the rustdoc::missing_documentation lint may be used. Module Tests This lint does not implement detection of module tests (or other feature dependent elements for that matter). To lint the location of mod tests, the lint items_after_test_module can be used instead. Example trait TraitUnordered { const A: bool; const C: bool; const B: bool; type SomeType; fn a(); fn c(); fn b(); } Use instead: trait TraitOrdered { const A: bool; const B: bool; const C: bool; type SomeType; fn a(); fn b(); fn c(); } Configuration module-item-order-groupings : The named groupings of different source item kinds within modules. (default: [["modules", ["extern_crate", "mod", "foreign_mod"]], ["use", ["use"]], ["macros", ["macro"]], ["global_asm", ["global_asm"]], ["UPPER_SNAKE_CASE", ["static", "const"]], ["PascalCase", ["ty_alias", "enum", "struct", "union", "trait", "trait_alias", "impl"]], ["lower_snake_case", ["fn"]]] ) module-items-ordered-within-groupings : Whether the items within module groups should be ordered alphabetically or not. This option can be configured to “all”, “none”, or a list of specific grouping names that should be checked (e.g. only “enums”). (default: "none" ) source-item-ordering : Which kind of elements should be ordered internally, possible values being enum , impl , module , struct , trait . (default: ["enum", "impl", "module", "struct", "trait"] ) trait-assoc-item-kinds-order : The order of associated items in traits. (default: ["const", "type", "fn"] ) Applicability: Unspecified (?) Added in: 1.84.0 Related Issues View Source arc_with_non_send_sync ¶ 📋 suspicious warn What it does. This lint warns when you use Arc with a type that does not implement Send or Sync . Why is this bad? Arc<T> is a thread-safe Rc<T> and guarantees that updates to the reference counter use atomic operations. To send an Arc<T> across thread boundaries and share ownership between multiple threads, T must be both Send and Sync , so either T should be made Send + Sync or an Rc should be used instead of an Arc . Example fn main() { // This is fine, as `i32` implements `Send` and `Sync`. let a = Arc::new(42); // `RefCell` is `!Sync`, so either the `Arc` should be replaced with an `Rc` // or the `RefCell` replaced with something like a `RwLock` let b = Arc::new(RefCell::new(42)); } Applicability: Unspecified (?) Added in: 1.72.0 Related Issues View Source arithmetic_side_effects ¶ 📋 restriction allow What it does Checks any kind of arithmetic operation of any type. Operators like + , - , * or << are usually capable of overflowing according to the Rust Reference , or can panic ( / , % ). Known safe built-in types like Wrapping or Saturating , floats, operations in constant environments, allowed types and non-constant operations that won’t overflow are ignored. Why restrict this? For integers, overflow will trigger a panic in debug builds or wrap the result in release mode; division by zero will cause a panic in either mode. As a result, it is desirable to explicitly call checked, wrapping or saturating arithmetic methods. Example // `n` can be any number, including `i32::MAX`. fn foo(n: i32) -> i32 { n + 1 } Third-party types can also overflow or present unwanted side-effects. Example use rust_decimal::Decimal; let _n = Decimal::MAX + Decimal::MAX; Past names integer_arithmetic Configuration arithmetic-side-effects-allowed : Suppress checking of the passed type names in all types of operations. If a specific operation is desired, consider using arithmetic_side_effects_allowed_binary or arithmetic_side_effects_allowed_unary instead. Example arithmetic-side-effects-allowed = ["SomeType", "AnotherType"] Noteworthy A type, say SomeType , listed in this configuration has the same behavior of ["SomeType" , "*"], ["*", "SomeType"] in arithmetic_side_effects_allowed_binary . (default: [] ) arithmetic-side-effects-allowed-binary : Suppress checking of the passed type pair names in binary operations like addition or multiplication. Supports the “*” wildcard to indicate that a certain type won’t trigger the lint regardless of the involved counterpart. For example, ["SomeType", "*"] or ["*", "AnotherType"] . Pairs are asymmetric, which means that ["SomeType", "AnotherType"] is not the same as ["AnotherType", "SomeType"] . Example arithmetic-side-effects-allowed-binary = [["SomeType" , "f32"], ["AnotherType", "*"]] (default: [] ) arithmetic-side-effects-allowed-unary : Suppress checking of the passed type names in unary operations like “negation” ( - ). Example arithmetic-side-effects-allowed-unary = ["SomeType", "AnotherType"] (default: [] ) Applicability: Unspecified (?) Added in: 1.64.0 Related Issues View Source as_conversions ¶ 📋 restriction allow What it does Checks for usage of as conversions. Note that this lint is specialized in linting every single use of as regardless of whether good alternatives exist or not. If you want more precise lints for as , please consider using these separate lints: clippy::cast_lossless clippy::cast_possible_truncation clippy::cast_possible_wrap clippy::cast_precision_loss clippy::cast_sign_loss clippy::char_lit_as_u8 clippy::fn_to_numeric_cast clippy::fn_to_numeric_cast_with_truncation clippy::ptr_as_ptr clippy::unnecessary_cast invalid_reference_casting There is a good explanation the reason why this lint should work in this way and how it is useful in this issue . Why restrict this? as conversions will perform many kinds of conversions, including silently lossy conversions and dangerous coercions. There are cases when it makes sense to use as , so the lint is Allow by default. Example let a: u32; ... f(a as u16); Use instead: f(a.try_into()?); // or f(a.try_into().expect("Unexpected u16 overflow in f")); Applicability: Unspecified (?) Added in: 1.41.0 Related Issues View Source as_pointer_underscore ¶ 📋 restriction allow What it does Checks for the usage of as *const _ or as *mut _ conversion using inferred type. Why restrict this? The conversion might include a dangerous cast that might go undetected due to the type being inferred. Example fn as_usize<T>(t: &T) -> usize { // BUG: `t` is already a reference, so we will here // return a dangling pointer to a temporary value instead &t as *const _ as usize } Use instead: fn as_usize<T>(t: &T) -> usize { t as *const T as usize } Applicability: MachineApplicable (?) Added in: 1.85.0 Related Issues View Source as_ptr_cast_mut ¶ 📋 nursery allow What it does Checks for the result of a &self -taking as_ptr being cast to a mutable pointer. Why is this bad? Since as_ptr takes a &self , the pointer won’t have write permissions unless interior mutability is used, making it unlikely that having it as a mutable pointer is correct. Example let mut vec = Vec::<u8>::with_capacity(1); let ptr = vec.as_ptr() as *mut u8; unsafe { ptr.write(4) }; // UNDEFINED BEHAVIOUR Use instead: let mut vec = Vec::<u8>::with_capacity(1); let ptr = vec.as_mut_ptr(); unsafe { ptr.write(4) }; Applicability: MaybeIncorrect (?) Added in: 1.66.0 Related Issues View Source as_underscore ¶ 📋 restriction allow What it does Checks for the usage of as _ conversion using inferred type. Why restrict this? The conversion might include lossy conversion or a dangerous cast that might go undetected due to the type being inferred. The lint is allowed by default as using _ is less wordy than always specifying the type. Example fn foo(n: usize) {} let n: u16 = 256; foo(n as _); Use instead: fn foo(n: usize) {} let n: u16 = 256; foo(n as usize); Applicability: MachineApplicable (?) Added in: 1.63.0 Related Issues View Source assertions_on_constants ¶ 📋 style warn What it does Checks for assert!(true) and assert!(false) calls. Why is this bad? Will be optimized out by the compiler or should probably be replaced by a panic!() or unreachable!() Example assert!(false) assert!(true) const B: bool = false; assert!(B) Applicability: Unspecified (?) Added in: 1.34.0 Related Issues View Source assertions_on_result_states ¶ 📋 restriction allow What it does Checks for assert!(r.is_ok()) or assert!(r.is_err()) calls. Why restrict this? This form of assertion does not show any of the information present in the Result other than which variant it isn’t. Known problems The suggested replacement decreases the readability of code and log output. Example assert!(r.is_ok()); assert!(r.is_err()); Use instead: r.unwrap(); r.unwrap_err(); Applicability: MachineApplicable (?) Added in: 1.64.0 Related Issues View Source assign_op_pattern ¶ 📋 style warn What it does Checks for a = a op b or a = b commutative_op a patterns. Why is this bad? These can be written as the shorter a op= b . Known problems While forbidden by the spec, OpAssign traits may have implementations that differ from the regular Op impl. Example let mut a = 5; let b = 0; // ... a = a + b; Use instead: let mut a = 5; let b = 0; // ... a += b; Applicability: MachineApplicable (?) Added in: pre 1.29.0 Related Issues View Source assign_ops ¶ 📋 deprecated none What it does Nothing. This lint has been deprecated Deprecation reason Compound operators are harmless and linting on them is not in scope for clippy. Applicability: Unspecified (?) Deprecated in: 1.30.0 Related Issues assigning_clones ¶ 📋 pedantic allow What it does Checks for code like foo = bar.clone(); Why is this bad? Custom Clone::clone_from() or ToOwned::clone_into implementations allow the objects to share resources and therefore avoid allocations. Example struct Thing; impl Clone for Thing { fn clone(&self) -> Self { todo!() } fn clone_from(&mut self, other: &Self) { todo!() } } pub fn assign_to_ref(a: &mut Thing, b: Thing) { *a = b.clone(); } Use instead: struct Thing; impl Clone for Thing { fn clone(&self) -> Self { todo!() } fn clone_from(&mut self, other: &Self) { todo!() } } pub fn assign_to_ref(a: &mut Thing, b: Thing) { a.clone_from(&b); } Configuration msrv : The minimum rust version that the project supports. Defaults to the rust-version field in Cargo.toml (default: current version ) Applicability: Unspecified (?) Added in: 1.78.0 Related Issues View Source async_yields_async ¶ 📋 correctness deny What it does Checks for async blocks that yield values of types that can themselves be awaited. Why is this bad? An await is likely missing. Example async fn foo() {} fn bar() { let x = async { foo() }; } Use instead: async fn foo() {} fn bar() { let x = async { foo().await }; } Applicability: MaybeIncorrect (?) Added in: 1.48.0 Related Issues View Source await_holding_invalid_type ¶ 📋 suspicious warn What it does Allows users to configure types which should not be held across await suspension points. Why is this bad? There are some types which are perfectly safe to use concurrently from a memory access perspective, but that will cause bugs at runtime if they are held in such a way. Example await-holding-invalid-types = [ # You can specify a type name "CustomLockType", # You can (optionally) specify a reason { path = "OtherCustomLockType", reason = "Relies on a thread local" } ] struct CustomLockType; struct OtherCustomLockType; async fn foo() { let _x = CustomLockType; let _y = OtherCustomLockType; baz().await; // Lint violation } Configuration await-holding-invalid-types : The list of types which may not be held across an await point. (default: [] ) Applicability: Unspecified (?) Added in: 1.62.0 Related Issues View Source await_holding_lock ¶ 📋 suspicious warn What it does Checks for calls to await while holding a non-async-aware MutexGuard . Why is this bad? The Mutex types found in std::sync and parking_lot are not designed to operate in an async context across await points. There are two potential solutions. One is to use an async-aware Mutex type. Many asynchronous foundation crates provide such a Mutex type. The other solution is to ensure the mutex is unlocked before calling await , either by introducing a scope or an explicit call to Drop::drop . Known problems Will report false positive for explicitly dropped guards ( #6446 ). A workaround for this is to wrap the .lock() call in a block instead of explicitly dropping the guard. Example async fn foo(x: &Mutex<u32>) { let mut guard = x.lock().unwrap(); *guard += 1; baz().await; } async fn bar(x: &Mutex<u32>) { let mut guard = x.lock().unwrap(); *guard += 1; drop(guard); // explicit drop baz().await; } Use instead: async fn foo(x: &Mutex<u32>) { { let mut guard = x.lock().unwrap(); *guard += 1; } baz().await; } async fn bar(x: &Mutex<u32>) { { let mut guard = x.lock().unwrap(); *guard += 1; } // guard dropped here at end of scope baz().await; } Applicability: Unspecified (?) Added in: 1.45.0 Related Issues View Source await_holding_refcell_ref ¶ 📋 suspicious warn What it does Checks for calls to await while holding a RefCell , Ref , or RefMut . Why is this bad? RefCell refs only check for exclusive mutable access at runtime. Holding a RefCell ref across an await suspension point risks panics from a mutable ref shared while other refs are outstanding. Known problems Will report false positive for explicitly dropped refs ( #6353 ). A workaround for this is to wrap the .borrow[_mut]() call in a block instead of explicitly dropping the ref. Example async fn foo(x: &RefCell<u32>) { let mut y = x.borrow_mut(); *y += 1; baz().await; } async fn bar(x: &RefCell<u32>) { let mut y = x.borrow_mut(); *y += 1; drop(y); // explicit drop baz().await; } Use instead: async fn foo(x: &RefCell<u32>) { { let mut y = x.borrow_mut(); *y += 1; } baz().await; } async fn bar(x: &RefCell<u32>) { { let mut y = x.borrow_mut(); *y += 1; } // y dropped here at end of scope baz().await; } Applicability: Unspecified (?) Added in: 1.49.0 Related Issues View Source bad_bit_mask ¶ 📋 correctness deny What it does Checks for incompatible bit masks in comparisons. The formula for detecting if an expression of the type _ <bit_op> m <cmp_op> c (where <bit_op> is one of { & , | } and <cmp_op> is one of { != , >= , > , != , >= , > }) can be determined from the following table: Comparison Bit Op Example is always Formula == or != & x & 2 == 3 false c & m != c < or >= & x & 2 < 3 true m < c > or <= & x & 1 > 1 false m <= c == or != | x | 1 == 0 false c | m != c < or >= | x | 1 < 1 false m >= c <= or > | x | 1 > 0 true m > c Why is this bad? If the bits that the comparison cares about are always set to zero or one by the bit mask, the comparison is constant true or false (depending on mask, compared value, and operators). So the code is actively misleading, and the only reason someone would write this intentionally is to win an underhanded Rust contest or create a test-case for this lint. Example if (x & 1 == 2) { } Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source big_endian_bytes ¶ 📋 restriction allow What it does Checks for the usage of the to_be_bytes method and/or the function from_be_bytes . Why restrict this? To ensure use of little-endian or the target’s endianness rather than big-endian. Example let _x = 2i32.to_be_bytes(); let _y = 2i64.to_be_bytes(); Applicability: Unspecified (?) Added in: 1.72.0 Related Issues View Source bind_instead_of_map ¶ 📋 complexity warn What it does Checks for usage of _.and_then(|x| Some(y)) , _.and_then(|x| Ok(y)) or _.or_else(|x| Err(y)) . Why is this bad? This can be written more concisely as _.map(|x| y) or _.map_err(|x| y) . Example let _ = opt().and_then(|s| Some(s.len())); let _ = res().and_then(|s| if s.len() == 42 { Ok(10) } else { Ok(20) }); let _ = res().or_else(|s| if s.len() == 42 { Err(10) } else { Err(20) }); The correct use would be: let _ = opt().map(|s| s.len()); let _ = res().map(|s| if s.len() == 42 { 10 } else { 20 }); let _ = res().map_err(|s| if s.len() == 42 { 10 } else { 20 }); Past names option_and_then_some Applicability: MachineApplicable (?) Added in: 1.45.0 Related Issues View Source blanket_clippy_restriction_lints ¶ 📋 suspicious warn What it does Checks for warn / deny / forbid attributes targeting the whole clippy::restriction category. Why is this bad? Restriction lints sometimes are in contrast with other lints or even go against idiomatic rust. These lints should only be enabled on a lint-by-lint basis and with careful consideration. Example #![deny(clippy::restriction)] Use instead: #![deny(clippy::as_conversions)] Applicability: Unspecified (?) Added in: 1.47.0 Related Issues View Source blocks_in_conditions ¶ 📋 style warn What it does Checks for if and match conditions that use blocks containing an expression, statements or conditions that use closures with blocks. Why is this bad? Style, using blocks in the condition makes it hard to read. Examples if { true } { /* ... */ } if { let x = somefunc(); x } { /* ... */ } match { let e = somefunc(); e } { // ... } Use instead: if true { /* ... */ } let res = { let x = somefunc(); x }; if res { /* ... */ } let res = { let e = somefunc(); e }; match res { // ... } Past names block_in_if_condition_expr block_in_if_condition_stmt blocks_in_if_conditions Applicability: MachineApplicable (?) Added in: 1.45.0 Related Issues View Source bool_assert_comparison ¶ 📋 style warn What it does This lint warns about boolean comparisons in assert-like macros. Why is this bad? It is shorter to use the equivalent. Example assert_eq!("a".is_empty(), false); assert_ne!("a".is_empty(), true); Use instead: assert!(!"a".is_empty()); Applicability: MachineApplicable (?) Added in: 1.53.0 Related Issues View Source bool_comparison ¶ 📋 complexity warn What it does Checks for expressions of the form x == true , x != true and order comparisons such as x < true (or vice versa) and suggest using the variable directly. Why is this bad? Unnecessary code. Example if x == true {} if y == false {} use x directly: if x {} if !y {} Applicability: MachineApplicable (?) Added in: pre 1.29.0 Related Issues View Source bool_to_int_with_if ¶ 📋 pedantic allow What it does Instead of using an if statement to convert a bool to an int, this lint suggests using a from() function or an as coercion. Why is this bad? Coercion or from() is another way to convert bool to a number. Both methods are guaranteed to return 1 for true, and 0 for false. See https://doc.rust-lang.org/std/primitive.bool.html#impl-From%3Cbool%3E Example if condition { 1_i64 } else { 0 }; Use instead: i64::from(condition); or condition as i64; Applicability: MachineApplicable (?) Added in: 1.65.0 Related Issues View Source borrow_as_ptr ¶ 📋 pedantic allow What it does Checks for the usage of &expr as *const T or &mut expr as *mut T , and suggest using &raw const or &raw mut instead. Why is this bad? This would improve readability and avoid creating a reference that points to an uninitialized value or unaligned place. Read the &raw explanation in the Reference for more information. Example let val = 1; let p = &val as *const i32; let mut val_mut = 1; let p_mut = &mut val_mut as *mut i32; Use instead: let val = 1; let p = &raw const val; let mut val_mut = 1; let p_mut = &raw mut val_mut; Configuration msrv : The minimum rust version that the project supports. Defaults to the rust-version field in Cargo.toml (default: current version ) Applicability: MachineApplicable (?) Added in: 1.60.0 Related Issues View Source borrow_deref_ref ¶ 📋 complexity warn What it does Checks for &*(&T) . Why is this bad? Dereferencing and then borrowing a reference value has no effect in most cases. Known problems False negative on such code: let x = &12; let addr_x = &x as *const _ as usize; let addr_y = &&*x as *const _ as usize; // assert ok now, and lint triggered. // But if we fix it, assert will fail. assert_ne!(addr_x, addr_y); Example let s = &String::new(); let a: &String = &* s; Use instead: let a: &String = s; Applicability: MachineApplicable (?) Added in: 1.63.0 Related Issues View Source borrow_interior_mutable_const ¶ 📋 style warn What it does Checks for a borrow of a named constant with interior mutability. Why is this bad? Named constants are copied at every use site which means any change to their value will be lost after the newly created value is dropped. e.g. use core::sync::atomic::{AtomicUsize, Ordering}; const ATOMIC: AtomicUsize = AtomicUsize::new(0); fn add_one() -> usize { // This will always return `0` since `ATOMIC` is copied before it's borrowed // for use by `fetch_add`. ATOMIC.fetch_add(1, Ordering::AcqRel) } Known problems This lint does not, and cannot in general, determine if the borrow of the constant is used in a way which causes a mutation. e.g. use core::cell::Cell; const CELL: Cell<usize> = Cell::new(0); fn get_cell() -> Cell<usize> { // This is fine. It borrows a copy of `CELL`, but never mutates it through the // borrow. CELL.clone() } There also exists types which contain private fields with interior mutability, but no way to both create a value as a constant and modify any mutable field using the type’s public interface (e.g. bytes::Bytes ). As there is no reasonable way to scan a crate’s interface to see if this is the case, all such types will be linted. If this happens use the ignore-interior-mutability configuration option to allow the type. Example use std::sync::atomic::{AtomicUsize, Ordering::SeqCst}; const CONST_ATOM: AtomicUsize = AtomicUsize::new(12); CONST_ATOM.store(6, SeqCst); // the content of the atomic is unchanged assert_eq!(CONST_ATOM.load(SeqCst), 12); // because the CONST_ATOM in these lines are distinct Use instead: use std::sync::atomic::{AtomicUsize, Ordering::SeqCst}; const CONST_ATOM: AtomicUsize = AtomicUsize::new(12); static STATIC_ATOM: AtomicUsize = CONST_ATOM; STATIC_ATOM.store(9, SeqCst); assert_eq!(STATIC_ATOM.load(SeqCst), 9); // use a `static` item to refer to the same instance Configuration ignore-interior-mutability : A list of paths to types that should be treated as if they do not contain interior mutability (default: ["bytes::Bytes"] ) Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source borrowed_box ¶ 📋 complexity warn What it does Checks for usage of &Box<T> anywhere in the code. Check the Box documentation for more information. Why is this bad? A &Box<T> parameter requires the function caller to box T first before passing it to a function. Using &T defines a concrete type for the parameter and generalizes the function, this would also auto-deref to &T at the function call site if passed a &Box<T> . Example fn foo(bar: &Box<T>) { ... } Better: fn foo(bar: &T) { ... } Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source box_collection ¶ 📋 perf warn What it does Checks for usage of Box<T> where T is a collection such as Vec anywhere in the code. Check the Box documentation for more information. Why is this bad? Collections already keeps their contents in a separate area on the heap. So if you Box them, you just add another level of indirection without any benefit whatsoever. Example struct X { values: Box<Vec<Foo>>, } Better: struct X { values: Vec<Foo>, } Past names box_vec Configuration avoid-breaking-exported-api : Suppress lints whenever the suggested change would cause breakage for other crates. (default: true ) Applicability: Unspecified (?) Added in: 1.57.0 Related Issues View Source box_default ¶ 📋 style warn What it does checks for Box::new(Default::default()) , which can be written as Box::default() . Why is this bad? Box::default() is equivalent and more concise. Example let x: Box<String> = Box::new(Default::default()); Use instead: let x: Box<String> = Box::default(); Applicability: MachineApplicable (?) Added in: 1.66.0 Related Issues View Source boxed_local ¶ 📋 perf warn What it does Checks for usage of Box<T> where an unboxed T would work fine. Why is this bad? This is an unnecessary allocation, and bad for performance. It is only necessary to allocate if you wish to move the box into something. Example fn foo(x: Box<u32>) {} Use instead: fn foo(x: u32) {} Configuration too-large-for-stack : The maximum size of objects (in bytes) that will be linted. Larger objects are ok on the heap (default: 200 ) Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source branches_sharing_code ¶ 📋 nursery allow What it does Checks if the if and else block contain shared code that can be moved out of the blocks. Why is this bad? Duplicate code is less maintainable. Example let foo = if … { println!("Hello World"); 13 } else { println!("Hello World"); 42 }; Use instead: println!("Hello World"); let foo = if … { 13 } else { 42 }; Applicability: Unspecified (?) Added in: 1.53.0 Related Issues View Source builtin_type_shadow ¶ 📋 style warn What it does Warns if a generic shadows a built-in type. Why is this bad? This gives surprising type errors. Example impl<u32> Foo<u32> { fn impl_func(&self) -> u32 { 42 } } Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source byte_char_slices ¶ 📋 style warn What it does Checks for hard to read slices of byte characters, that could be more easily expressed as a byte string. Why is this bad? Potentially makes the string harder to read. Example &[b'H', b'e', b'l', b'l', b'o']; Use instead: b"Hello" Applicability: MachineApplicable (?) Added in: 1.81.0 Related Issues View Source bytes_count_to_len ¶ 📋 complexity warn What it does It checks for str::bytes().count() and suggests replacing it with str::len() . Why is this bad? str::bytes().count() is longer and may not be as performant as using str::len() . Example "hello".bytes().count(); String::from("hello").bytes().count(); Use instead: "hello".len(); String::from("hello").len(); Applicability: MachineApplicable (?) Added in: 1.62.0 Related Issues View Source bytes_nth ¶ 📋 style warn What it does Checks for the use of .bytes().nth() . Why is this bad? .as_bytes().get() is more efficient and more readable. Example "Hello".bytes().nth(3); Use instead: "Hello".as_bytes().get(3); Applicability: MachineApplicable (?) Added in: 1.52.0 Related Issues View Source cargo_common_metadata ¶ 📋 cargo allow What it does Checks to see if all common metadata is defined in Cargo.toml . See: https://rust-lang-nursery.github.io/api-guidelines/documentation.html#cargotoml-includes-all-common-metadata-c-metadata Why is this bad? It will be more difficult for users to discover the purpose of the crate, and key information related to it. Example [package] name = "clippy" version = "0.0.212" repository = "https://github.com/rust-lang/rust-clippy" readme = "README.md" license = "MIT OR Apache-2.0" keywords = ["clippy", "lint", "plugin"] categories = ["development-tools", "development-tools::cargo-plugins"] Should include a description field like: [package] name = "clippy" version = "0.0.212" description = "A bunch of helpful lints to avoid common pitfalls in Rust" repository = "https://github.com/rust-lang/rust-clippy" readme = "README.md" license = "MIT OR Apache-2.0" keywords = ["clippy", "lint", "plugin"] categories = ["development-tools", "development-tools::cargo-plugins"] Configuration cargo-ignore-publish : For internal testing only, ignores the current publish settings in the Cargo manifest. (default: false ) Applicability: Unspecified (?) Added in: 1.32.0 Related Issues View Source case_sensitive_file_extension_comparisons ¶ 📋 pedantic allow What it does Checks for calls to ends_with with possible file extensions and suggests to use a case-insensitive approach instead. Why is this bad? ends_with is case-sensitive and may not detect files with a valid extension. Example fn is_rust_file(filename: &str) -> bool { filename.ends_with(".rs") } Use instead: fn is_rust_file(filename: &str) -> bool { let filename = std::path::Path::new(filename); filename.extension() .map_or(false, |ext| ext.eq_ignore_ascii_case("rs")) } Applicability: MaybeIncorrect (?) Added in: 1.51.0 Related Issues View Source cast_abs_to_unsigned ¶ 📋 suspicious warn What it does Checks for usage of the abs() method that cast the result to unsigned. Why is this bad? The unsigned_abs() method avoids panic when called on the MIN value. Example let x: i32 = -42; let y: u32 = x.abs() as u32; Use instead: let x: i32 = -42; let y: u32 = x.unsigned_abs(); Configuration msrv : The minimum rust version that the project supports. Defaults to the rust-version field in Cargo.toml (default: current version ) Applicability: MachineApplicable (?) Added in: 1.62.0 Related Issues View Source cast_enum_constructor ¶ 📋 suspicious warn What it does Checks for casts from an enum tuple constructor to an integer. Why is this bad? The cast is easily confused with casting a c-like enum value to an integer. Example enum E { X(i32) }; let _ = E::X as usize; Applicability: Unspecified (?) Added in: 1.61.0 Related Issues View Source cast_enum_truncation ¶ 📋 suspicious warn What it does Checks for casts from an enum type to an integral type that will definitely truncate the value. Why is this bad? The resulting integral value will not match the value of the variant it came from. Example enum E { X = 256 }; let _ = E::X as u8; Applicability: Unspecified (?) Added in: 1.61.0 Related Issues View Source cast_lossless ¶ 📋 pedantic allow What it does Checks for casts between numeric types that can be replaced by safe conversion functions. Why is this bad? Rust’s as keyword will perform many kinds of conversions, including silently lossy conversions. Conversion functions such as i32::from will only perform lossless conversions. Using the conversion functions prevents conversions from becoming silently lossy if the input types ever change, and makes it clear for people reading the code that the conversion is lossless. Example fn as_u64(x: u8) -> u64 { x as u64 } Using ::from would look like this: fn as_u64(x: u8) -> u64 { u64::from(x) } Applicability: MachineApplicable (?) Added in: pre 1.29.0 Related Issues View Source cast_nan_to_int ¶ 📋 suspicious warn What it does Checks for a known NaN float being cast to an integer Why is this bad? NaNs are cast into zero, so one could simply use this and make the code more readable. The lint could also hint at a programmer error. Example let _ = (0.0_f32 / 0.0) as u64; Use instead: let _ = 0_u64; Applicability: Unspecified (?) Added in: 1.66.0 Related Issues View Source cast_possible_truncation ¶ 📋 pedantic allow What it does Checks for casts between numeric types that may truncate large values. This is expected behavior, so the cast is Allow by default. It suggests user either explicitly ignore the lint, or use try_from() and handle the truncation, default, or panic explicitly. Why is this bad? In some problem domains, it is good practice to avoid truncation. This lint can be activated to help assess where additional checks could be beneficial. Example fn as_u8(x: u64) -> u8 { x as u8 } Use instead: fn as_u8(x: u64) -> u8 { if let Ok(x) = u8::try_from(x) { x } else { todo!(); } } // Or #[allow(clippy::cast_possible_truncation)] fn as_u16(x: u64) -> u16 { x as u16 } Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source cast_possible_wrap ¶ 📋 pedantic allow What it does Checks for casts from an unsigned type to a signed type of the same size, or possibly smaller due to target-dependent integers. Performing such a cast is a no-op for the compiler (that is, nothing is changed at the bit level), and the binary representation of the value is reinterpreted. This can cause wrapping if the value is too big for the target signed type. However, the cast works as defined, so this lint is Allow by default. Why is this bad? While such a cast is not bad in itself, the results can be surprising when this is not the intended behavior: Example let _ = u32::MAX as i32; // will yield a value of `-1` Use instead: let _ = i32::try_from(u32::MAX).ok(); Applicability: MaybeIncorrect (?) Added in: pre 1.29.0 Related Issues View Source cast_precision_loss ¶ 📋 pedantic allow What it does Checks for casts from any numeric type to a float type where the receiving type cannot store all values from the original type without rounding errors. This possible rounding is to be expected, so this lint is Allow by default. Basically, this warns on casting any integer with 32 or more bits to f32 or any 64-bit integer to f64 . Why is this bad? It’s not bad at all. But in some applications it can be helpful to know where precision loss can take place. This lint can help find those places in the code. Example let x = u64::MAX; x as f64; Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source cast_ptr_alignment ¶ 📋 pedantic allow What it does Checks for casts, using as or pointer::cast , from a less strictly aligned pointer to a more strictly aligned pointer. Why is this bad? Dereferencing the resulting pointer may be undefined behavior. Known problems Using std::ptr::read_unaligned and std::ptr::write_unaligned or similar on the resulting pointer is fine. Is over-zealous: casts with manual alignment checks or casts like u64 -> u8 -> u16 can be fine. Miri is able to do a more in-depth analysis. Example let _ = (&1u8 as *const u8) as *const u16; let _ = (&mut 1u8 as *mut u8) as *mut u16; (&1u8 as *const u8).cast::<u16>(); (&mut 1u8 as *mut u8).cast::<u16>(); Applicability: Unspecified (?) Added in: pre 1.29.0 Related Issues View Source cast_sign_loss ¶ 📋 pedantic allow What it does Checks for casts from a signed to an unsigned numeric type. In this case, negative values wrap around to large positive values, which can be quite surprising in practice. However, since the cast works as defined, this lint is Allow by default. Why is this bad? Possibly surprising results. You can activate this lint as a one-time check to see where numeric wrapping can arise. Example let y: i8 = -1; y as u64; // will return 18446744073709551615 Applicability: MaybeIncorrect (?) Added in: pre 1.29.0 Related Issues View Source cast_slice_different_sizes ¶ 📋 correctness deny What it does Checks for as casts between raw pointers to slices with differently sized elements. Why is this bad? The produced raw pointer to a slice does not update its length metadata. The produced pointer will point to a different number of bytes than the original pointer because the length metadata of a raw slice pointer is in elements rather than bytes. Producing a slice reference from the raw pointer will either create a slice with less data (which can be surprising) or create a slice with more data and cause Undefined Behavior. Example // Missing data let a = [1_i32, 2, 3, 4]; let p = &a as *const [i32] as *const [u8]; unsafe { println!("{:?}", &*p); } // Undefined Behavior (note: also potential alignment issues) let a = [1_u8, 2, 3, 4]; let p = &a as *const [u8] as *const [u32]; unsafe { println!("{:?}", &*p); } Instead use ptr::slice_from_raw_parts to construct a slice from a data pointer and the correct length let a = [1_i32, 2, 3, 4]; let old_ptr = &a as *const [i32]; // The data pointer is cast to a pointer to the target `u8` not `[u8]` // The length comes from the known length of 4 i32s times the 4 bytes per i32 let new_ptr = core::ptr::slice_from_raw_parts(old_ptr as *const u8, 16); unsafe { println!("{:?}", &*new_ptr); } Applicability: HasPlaceholders (?) Added in: 1.61.0 Related Issues View Source cast_slice_from_raw_parts ¶ 📋 suspicious warn What it does Checks for a raw slice being cast to a slice pointer Why is this bad? This can result in multiple &mut references to the same location when only a pointer is required. ptr::slice_from_raw_parts is a safe alternative that doesn’t require the same safety requirements to be upheld. Example let _: *const [u8] = std::slice::from_raw_parts(ptr, len) as *const _; let _: *mut [u8] = std::slice::from_raw_parts_mut(ptr, len) as *mut _; Use instead: let _: *const [u8] = std::ptr::slice_from_raw_parts(ptr, len); let _: *mut [u8] = std::ptr::slice_from_raw_parts_mut(ptr, len); Applicability: MachineApplicable (?) Added in: 1.65.0 Related Issues View Source cfg_not_test ¶ 📋 restriction allow What it does Checks for usage of cfg that excludes code from test builds. (i.e., #[cfg(not(test))] ) Why is this bad? This may give the false impression that a codebase has 100% coverage, yet actually has untested code. Enabling this also guards against excessive mockery as well, which is an anti-pattern. Example #[cfg(not(test))] important_check(); // I'm not actually tested, but not including me will falsely increase coverage! Use instead: important_check(); Applicability: Unspecified (?) Added in: 1.81.0 Related Issues View Source char_indices_as_byte_indices ¶ 📋 correctness deny What it does Checks for usage of a character position yielded by .chars().enumerate() in a context where a byte index is expected, such as an argument to a specific str method or indexing into a str or String . Why is this bad? A character (more specifically, a Unicode scalar value) that is yielded by str::chars can take up multiple bytes, so a character position does not necessarily have the same byte index at which the character is stored. Thus, using the character position where a byte index is expected can unexpectedly return wrong values or panic when the string consists of multibyte characters. For example, the character a in äa is stored at byte index 2 but has the character position 1. Using the character position 1 to index into the string will lead to a panic as it is in the middle of the first character. Instead of .chars().enumerate() , the correct iterator to use is .char_indices() , which yields byte indices. This pattern is technically fine if the strings are known to only use the ASCII subset, though in those cases it would be better to use bytes() directly to make the intent clearer, but there is also no downside to just using .char_indices() directly and supporting non-ASCII strings. You may also want to read the chapter on strings in the Rust Book which goes into this in more detail. Example for (idx, c) in s.chars().enumerate() { let _ = s[idx..]; // ⚠️ Panics for strings consisting of multibyte characters } Use instead: for (idx, c) in s.char_indices() { let _ = s[idx..] | 2026-01-13T09:29:17 |
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https://www.linkedin.com/products/categories/endpoint-protection-systems?trk=products_details_guest_other_products_by_org_section_product_link_result-card_subtitle-click | Best Endpoint Protection Systems | Products | LinkedIn Skip to main content LinkedIn Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Clear text Used by Used by Chief Information Security Officer (28) Information Technology Manager (24) Chief Information Officer (21) Director of Information Technology (18) Cyber Security Specialist (15) See all products Find top products in Endpoint Protection Systems category Software used to provide centralized security measures for networked client devices such as smartphones, laptops, and tablets. - Monitor devices, view activity, create reports, and run system scans - Normalize security measures for different operating systems and devices - Detect and prevent targeted attacks, malware, data breaches and other threats 159 results HP Wolf Security Endpoint Protection Systems by HP Learn about HP Wolf Security, a new breed of endpoint security solutions for business PCs, home computers, and printers. Stay ahead of modern threats with comprehensive endpoint protection. View product Cortex Platform Endpoint Protection Systems by Palo Alto Networks Transform your SecOps with a unified platform. Shift to an AI-driven, human-empowered SOC to automate security operations, accelerate threat detection and response and shrink your attack surface. View product Citrix Endpoint Management Endpoint Protection Systems by Citrix Let employees work how, when, and where they want with the power to manage every app, device, and platform in one central location with the Citrix platform. Citrix Endpoint Management is the ideal solution for customers where security and compliance are a top priority. With this solution, you manage and control all infrastructure and it includes over 300 policies for additional security and advanced mobile device management compliance for context-aware security. In addition, with Citrix Endpoint Management cloud or on-premises, you get all the same features and can manage devices from anywhere. You don’t have to sacrifice user experience either, as Citrix supports high-quality experiences on all major mobile devices. View product OpenText Security & Protection Cloud Endpoint Protection Systems by OpenText Protect critical information at scale. Get peace of mind with award-winning solutions to maintain business security and continuity to better manage cyber threat, data loss and endpoint protection, forensic investigation and remediation. View product BloxOne® Threat Defense Endpoint Protection Systems by Infoblox Infoblox BloxOne™ Threat Defense protects users, devices, and systems no matter where they are to strengthen and optimize their security postures from the foundation up. BloxOne Threat Defense is cloud-native and protects your brand by securing your existing networks and digital transformation activities, including SD-WAN, IoT, and cloud adoption. BloxOne Threat Defense also coordinates threat intelligence across the security stack, automates investigation and response activities, and otherwise uplifts the security ecosystem and Security Operations to improve cybersecurity while lowering the total cost of defense. View product Find products trusted by professionals in your network See which products are used by connections in your network and those that share similar job titles Sign in to view full insights ThreatLocker Endpoint Protection Systems by ThreatLocker ThreatLocker® is a Zero Trust endpoint protection platform that provides enterprise-level cybersecurity to organizations globally. With ThreatLocker, you can allow only what you need and block everything else, including ransomware! View product Bitdefender GravityZone Business Security Premium Endpoint Protection Systems by Bitdefender An integrated endpoint protection, risk management, and attack forensics platform. Enhanced with user behavior risk analytics. GravityZone Business Security Premium safeguards your organization from a full spectrum of sophisticated cyber threats. With more than 30 machine learning-driven security technologies, GravityZone provides multiple layers of defense that consistently outperforms conventional endpoint security, as proven in independent tests. A single-agent, single-console solution for physical, virtual, mobile, and cloud-based endpoints and email, GravityZone Business Security Premium adds the human element into your security ecosystem, minimizing management overhead while giving you ubiquitous visibility and control. View product Endpoint Central (formerly Desktop Central) Endpoint Protection Systems by ManageEngine Endpoint Central is a unified endpoint management solution that helps manage network endpoints like laptops, desktops, tablets, mobile devices, Smart TVs, Smart watches, servers and various point of sale devices from a single dashboard. Endpoint Central caters to the entire device management life cycle from automating regular endpoint management routines like OS deployment, installing patches, deploying software, and taking control of remote desktops to managing and monitoring assets, software licenses, software/USB device usage, and much more. Adding to device management capabilities, Endpoint Central also tightly integrates with a host of security tools like browser security, vulnerability manager, application control, device control and BitLocker encryption. Key capabilities of Endpoint Central: -Patch management -Software deployment -Mobile device management -OS imaging and deployment -IT asset management -Remote control -Modern management View product Endpoint Privilege Management Endpoint Protection Systems by BeyondTrust Enforce least privilege dynamically, achieve compliance across Windows, macOS, and Linux endpoints, and enable zero trust. Watch a demo to learn how it works. View product Lookout Mobile Endpoint Security Endpoint Protection Systems by Lookout Lookout Mobile Endpoint Security (MES) provides unmatched visibility and protection against mobile threats with the world’s largest AI-driven mobile security dataset. Leverage mobile EDR that protects your most valuable assets — employee identities and corporate data. View product See more How it works Explore Discover the best product for your need from a growing catalog of 25,000 products and categories trusted by LinkedIn professionals Learn Evaluate new tools, explore trending products in your industry and see who in your network is skilled in the product Grow Join communities of product users to learn best practices, celebrate your progress and accelerate your career LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/cardano-foundation-cardano-academy/?trk=products_details_guest_other_products_by_org_section_product_link_result-card_image-click | Cardano Academy | LinkedIn Skip to main content LinkedIn Cardano Foundation in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Cardano Academy Online Course Platforms by Cardano Foundation See who's skilled in this Add as skill Get started Report this product About Cardano Academy offers expert-driven blockchain education tailored to fit your schedule and learning preferences. Accessible anytime and on any device, our free courses support learners at every level, from beginners to advanced professionals. Developed and reviewed by industry experts, the content ensures you are learning the most up-to-date and relevant blockchain knowledge. With flexible, self-paced modules, you can study at your convenience, fitting your education around your personal and professional commitments. The micro-learning approach, with gamified and bite-sized lessons, enhances understanding and retention of key concepts, helping you grasp complex topics more effectively. Media Products media viewer No more previous content Cardano Academy Learn blockchain and accelerate your career. Blockchain Fundamentals Course Cardano Academy: Introduction Video Education and Enterprise Enablement On-demand E-learning No more next content Featured customers of Cardano Academy Pearson VUE IT Services and IT Consulting 63,609 followers Similar products Coursera Coursera Online Course Platforms Data Science Course with Guaranteed Internship Data Science Course with Guaranteed Internship Online Course Platforms Udemy Business Udemy Business Online Course Platforms Coursera for Business Coursera for Business Online Course Platforms DeepLearning.AI DeepLearning.AI Online Course Platforms Marketing from upGrad Marketing from upGrad Online Course Platforms Sign in to see more Show more Show less Cardano Foundation products Cardano Cardano Blockchain Platforms Reeve Reeve Enterprise Accounting Software Veridian Veridian Identity & Access Management (IAM) Software LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/kgisl-marvelai-the-business-transformation-engine/?trk=products_seo_search | Marvel.ai - The Business Transformation Engine | LinkedIn Skip to main content LinkedIn KGiSL in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Marvel.ai - The Business Transformation Engine Business Process Management Software by KGiSL See who's skilled in this Add as skill Learn more Report this product About Marvel.ai - The Revolutionary Business Transformation Engine AI-first, cloud-native, and customer experience-centric business transformation engine designed to revolutionize how enterprises across BFSI and all other major industries operate, compete, and thrive in the digital economy. Our platform goes beyond traditional Ai capabilities to deliver intelligent, customer-experience-centric solutions that transform core business processes and reimagine entire operational models. Marvel.ai isn't just another technology platform—it's your partner in reimagining what's possible. Whether you're looking to optimize existing processes, launch new digital initiatives, or completely transform your business model, our business transformation engine provides the foundation for sustainable growth and competitive advantage. Media Products media viewer No more previous content Business Transformation Engine Ai-first, Cloud-native and CX Centric business transformation engine designed to revolutionize how enterprises across BFSI and all other major industries operate, compete, and thrive in the digital economy. Benefits How marvel.ai differentiates from others Use case impact How it works? No more next content Similar products ServiceNow AI Platform ServiceNow AI Platform Business Process Management Software Amdocs TechInsights Amdocs TechInsights Business Process Management Software HCL Domino HCL Domino Business Process Management Software Skan AI Process Intelligence Platform Skan AI Process Intelligence Platform Business Process Management Software Business Cockpit Business Cockpit Business Process Management Software CaseXellence CaseXellence Business Process Management Software Sign in to see more Show more Show less KGiSL products BullFinch - Wealth Suite BullFinch - Wealth Suite Investment Portfolio Management Software Dolphin - Post Trade Clearing and Settlement System Dolphin - Post Trade Clearing and Settlement System Nsure - Insurance suite Nsure - Insurance suite Insurance Agency Management Systems Open Finance Integrator (OFI) Open Finance Integrator (OFI) Insurance Agency Management Systems LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/triad-systems-service-desk/?trk=products_details_guest_similar_products_section_similar_products_section_product_link_result-card_image-click | Service Desk | LinkedIn Skip to main content LinkedIn Triad Systems in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Service Desk Service Desk Software by Triad Systems See who's skilled in this Add as skill Contact us Report this product About Uma operação mais produtiva e responsiva, baseada nas melhores práticas de Information Technology Service Management (ITMS). Os clientes que contam com o suporte técnico insourcing ou outsourcing da Triad têm agilidade e excelência na resolução de problemas, incidentes e requisições. Indicadores operacionais são gerados em tempo real, em formato de dashboards, e apresentam o controle dos SLAs e KPIs quantitativos e qualitativos. Em conjunto, esses dados possibilitam tomadas de decisões mais assertivas e mantém a qualidade da entrega dos produtos e serviços da empresa. Similar products Jira Service Management Jira Service Management Service Desk Software Freshservice Freshservice Service Desk Software Intercom Intercom Service Desk Software Atomicwork Atomicwork Service Desk Software SolarWinds Service Desk SolarWinds Service Desk Service Desk Software TOPdesk TOPdesk Service Desk Software Sign in to see more Show more Show less Triad Systems products Monitoramento Proativo de Ativos da Infraestrutura de TI Monitoramento Proativo de Ativos da Infraestrutura de TI Infrastructure as a Service (IaaS) Outsourcing TI Outsourcing TI School Management Software Serviços Gerenciados em Infraestrutura de TI Serviços Gerenciados em Infraestrutura de TI Infrastructure as a Service (IaaS) LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/rd-station-rd-station-conversas/?trk=products_details_guest_other_products_by_org_section_product_link_result-card_full-click#main-content | RD Station Conversas | LinkedIn Skip to main content LinkedIn RD Station in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in RD Station Conversas Chatbot Software by RD Station See who's skilled in this Add as skill Learn more Report this product About RD Station Conversas é uma plataforma de atendimento e vendas digitais que promove a integração de diversos canais de comunicação e números de WhatsApp. Assim, você pode centralizar no RD Station Conversas todos os seus canais (WhatsApp. Telegram, Instagram Messenger e Facebook Messenger), permitindo que o time inteiro de atendimento relacione-se com Leads e clientes em um só local. RD Station Conversas pode ser usada por qualquer tipo de negócio que conta com times de vendas e atendimento que usam os canais digitais. Quanto maior for o investimento e relevância digital da marca, maiores são os resultados com o RD Station Conversas. This product is intended for Marketing Specialist Sales And Marketing Specialist Sales Specialist Analyst Manager Customer Service Specialist Support Specialist Media Products media viewer No more previous content Tela do RD Station Conversas Construa chatbots personalizados Centralize seus canais e organize seu atendimento Dashboards e monitoramento em tempo real Realize campanhas com disparos de mensagens no WhatsApp No more next content Featured customers of RD Station Conversas Nex Group Construction 6,506 followers Damásio Educacional Education Administration Programs 47,176 followers Vanguarda Martech Advertising Services 3,674 followers Home Center Ferreira Costa Retail 92,591 followers Oh lala, Dani! E-Learning Providers 152 followers Grupo Camed Wellness and Fitness Services 7,402 followers Similar products Blip Blip Chatbot Software Customer Engagement Customer Engagement Chatbot Software Chatbot Chatbot Chatbot Software Omnichat Omnichat Chatbot Software ELX Chatbot ELX Chatbot Chatbot Software ChatGuru ChatGuru Chatbot Software Sign in to see more Show more Show less RD Station products RD Station CRM RD Station CRM Customer Relationship Management (CRM) Software RD Station Marketing RD Station Marketing Marketing Automation Software LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/akamai-technologies-bocc?similarProducts=true&trk=products_details_guest_similar_products_section_sign_in#main-content | BOCC | LinkedIn Skip to main content LinkedIn Akamai Technologies in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in BOCC Live Streaming Software by Akamai Technologies See who's skilled in this Add as skill Learn more Report this product About Akamai's Broadcast Operations Control Center (BOCC) is a managed solution to maintain and improve the quality, reliability and availability of your media streams. Similar products Cloudflare Stream Cloudflare Stream Live Streaming Software Tencent Real-Time Communication (TRTC) Tencent Real-Time Communication (TRTC) Live Streaming Software Tango Tango Live Streaming Software Media Services Live Media Services Live Live Streaming Software Liveu Liveu Live Streaming Software Kaltura AI Video Experience Cloud Kaltura AI Video Experience Cloud Live Streaming Software Sign in to see more Show more Show less Akamai Technologies products Akamai Edge DNS Akamai Edge DNS Managed DNS Services Software Akamai Identity Cloud Akamai Identity Cloud Identity & Access Management (IAM) Software Akamai IoT Edge Connect Akamai IoT Edge Connect Internet of Things (IoT) Software Akamai Prolexic Routed Akamai Prolexic Routed DDoS Protection Software Aura Managed CDN Aura Managed CDN Content Delivery Network (CDN) Software DNSi AuthServe DNSi AuthServe Managed DNS Services Software DNSi Big Data Connector DNSi Big Data Connector Managed DNS Services Software Enterprise Threat Protector Enterprise Threat Protector Secure Web Gateways Media Services Live Media Services Live Live Streaming Software Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/freshworks-inc-freshservice/?trk=products_details_guest_other_products_by_org_section_product_link_result-card_full-click#main-content | Freshservice | LinkedIn Skip to main content LinkedIn Freshworks in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Freshservice Service Desk Software by Freshworks See who's skilled in this Add as skill Get started Report this product About Freshservice is an intelligent, right-sized service management solution for modern businesses of all sizes. Freshservice does this by taking a fresh approach to building and delivering modern employee experiences and unified service management —empowering businesses to achieve efficiency, fast time-to-value, and improved employee satisfaction and productivity. This product is intended for Chief Information Officer Information Technology Manager Information Technology Asset Manager Change Manager Information Technology Operations Manager Chief Technology Officer Vice President Information Technology Head of Information Technology Media Products media viewer No more previous content Freshservice for ITSM Transform IT support into a single, easy-to-use service management solution. With AI-powered tools, automated ticketing, and simple setup, IT teams can finally get back to solving real problems. Freshservice for ITOM Safeguard your business from operational incidents. Track service health, eliminate noise with Freddy AI, automate escalation, & update customers and stakeholders – minus any tool hopping. Freshservice for ITAM Build a backbone for efficient service delivery with complete visibility into your on-premise and cloud infrastructure with IT Asset Management software. Freshservice for Business Teams IT, HR, Facilities, Legal - extending Freshservice across business teams eliminates the need for multiple tools, all while delivering your employees a consistent service environment. No more next content Featured customers of Freshservice EF Education 519,430 followers TaylorMade Golf Company Sporting Goods Manufacturing 172,325 followers HelloFresh Consumer Services 422,334 followers RingCentral Software Development 295,494 followers Chargebee Financial Services 520,368 followers INCAE Business School Higher Education 181,676 followers Payvision Financial Services 14,507 followers VICE Media Media Production 660,568 followers University of Aberdeen Higher Education 155,678 followers NHS Food and Beverage Services 712,120 followers Western Sussex Hospitals NHS Trust Hospitals and Health Care 2,739 followers Addison Lee Transportation, Logistics, Supply Chain and Storage 23,478 followers M+C Saatchi UK Advertising Services 84,163 followers Moneycorp Financial Services 25,699 followers PowerSchool E-Learning Providers 160,054 followers UNiDAYS Advertising Services 18,275 followers Radisson Hotel Group Hospitality 878,390 followers Swinerton Construction 133,048 followers Wake Forest University Higher Education 98,864 followers Trainline Technology, Information and Internet 55,507 followers Show more Show less Similar products Jira Service Management Jira Service Management Service Desk Software Intercom Intercom Service Desk Software Atomicwork Atomicwork Service Desk Software SolarWinds Service Desk SolarWinds Service Desk Service Desk Software Service Desk Service Desk Service Desk Software TOPdesk TOPdesk Service Desk Software Sign in to see more Show more Show less Freshworks products Freshchat Freshchat Live Chat Software Freshdesk Freshdesk Help Desk Software Freshdesk Omni Freshdesk Omni Help Desk Software Freshmarketer Freshmarketer Marketing Automation Software Freshsales Freshsales Customer Relationship Management (CRM) Software Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/rd-station-rd-station-conversas/ | RD Station Conversas | LinkedIn Skip to main content LinkedIn RD Station in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in RD Station Conversas Chatbot Software by RD Station See who's skilled in this Add as skill Learn more Report this product About RD Station Conversas é uma plataforma de atendimento e vendas digitais que promove a integração de diversos canais de comunicação e números de WhatsApp. Assim, você pode centralizar no RD Station Conversas todos os seus canais (WhatsApp. Telegram, Instagram Messenger e Facebook Messenger), permitindo que o time inteiro de atendimento relacione-se com Leads e clientes em um só local. RD Station Conversas pode ser usada por qualquer tipo de negócio que conta com times de vendas e atendimento que usam os canais digitais. Quanto maior for o investimento e relevância digital da marca, maiores são os resultados com o RD Station Conversas. This product is intended for Marketing Specialist Sales And Marketing Specialist Sales Specialist Analyst Manager Customer Service Specialist Support Specialist Media Products media viewer No more previous content Tela do RD Station Conversas Construa chatbots personalizados Centralize seus canais e organize seu atendimento Dashboards e monitoramento em tempo real Realize campanhas com disparos de mensagens no WhatsApp No more next content Featured customers of RD Station Conversas Nex Group Construction 6,506 followers Damásio Educacional Education Administration Programs 47,176 followers Vanguarda Martech Advertising Services 3,674 followers Home Center Ferreira Costa Retail 92,591 followers Oh lala, Dani! E-Learning Providers 152 followers Grupo Camed Wellness and Fitness Services 7,402 followers Similar products Blip Blip Chatbot Software Customer Engagement Customer Engagement Chatbot Software Chatbot Chatbot Chatbot Software Omnichat Omnichat Chatbot Software ELX Chatbot ELX Chatbot Chatbot Software ChatGuru ChatGuru Chatbot Software Sign in to see more Show more Show less RD Station products RD Station CRM RD Station CRM Customer Relationship Management (CRM) Software RD Station Marketing RD Station Marketing Marketing Automation Software LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/credgenics-chatr/?trk=products_seo_search | ChatR | LinkedIn Skip to main content LinkedIn Credgenics in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in ChatR Live Chat Software by Credgenics See who's skilled in this Add as skill Request demo Report this product About ChatR is a two-way chat solution on WhatsApp that enables debt collections teams of banks, NBFCs and Fintech lenders to engage more effectively with borrowers through verified business accounts. Using ChatR, collection teams can share reminders, payment links and digital notices with borrowers instantly. The borrowers can also respond to these messages, and share payment proofs and other documents digitally with the agent on the lender’s official WhatsApp channel. ● Pre-approved WhatsApp template or free text typing available for the agent to communicate with borrowers ● Chat filters based on the last borrower conversation status and allocation month ● Integration with Credgenics Predictive dialer for Whatsapp Chat access for a Tele-calling agent ● Policy control for contact time limits with WhatsApp message monitoring This product is intended for Collections Manager Operations Manager Operations Lead Caller Customer Service Manager Media Products media viewer No more previous content ChatR No more next content Similar products Freshchat Freshchat Live Chat Software ICE Chat ICE Chat Live Chat Software Webchat Webchat Live Chat Software Microsoft Teams Microsoft Teams Live Chat Software LiveChat LiveChat Live Chat Software Chat Chat Live Chat Software Sign in to see more Show more Show less Credgenics products Billzy Payments Billzy Payments Payment Gateway Software CG Collect - Mobile Based Loan Collections CG Collect - Mobile Based Loan Collections Loan Servicing Software Credgenics Collections Analytics Credgenics Collections Analytics Debt Collection Software Credgenics Litigation Management System Credgenics Litigation Management System Debt Collection Software Credgenics Loan Collections Platform Credgenics Loan Collections Platform Debt Collection Software StarTrack StarTrack Loan Servicing Software Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/cardano-foundation-veridian/?trk=products_details_guest_similar_products_section_similar_products_section_product_link_result-card_image-click#main-content | Veridian | LinkedIn Skip to main content LinkedIn Cardano Foundation in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Veridian Identity & Access Management (IAM) Software by Cardano Foundation See who's skilled in this Add as skill Download now Report this product About Veridian is a decentralized identity platform designed to meet the demands of a connected, interoperable digital world. Developed with cutting-edge standards and powered by open infrastructure, Veridian provides a secure and scalable framework for digital identity—across individuals, organizations, and machines. Key Benefits: • Self-sovereign identity through decentralized identifiers (DIDs) • Post-quantum cryptographic security • Industry-compliant verifiable credentials • Cross-platform interoperability and delegated data authority • Full transparency via public, permissionless protocols • Optimized for enterprise, IoT, and low-bandwidth environments Veridian Wallet: Manage identifiers, credentials, and secure connections—all from a single mobile interface. Veridian’s wallet leverages biometric authentication, local key signing, and seamless integration with the Cardano blockchain. Media Products media viewer No more previous content Veridian: The Identity Platform Built for Tomorrow Discover Veridian, the Cardano Foundation's groundbreaking open-source digital identity platform. The next-generation solution empowers individuals and organizations with unprecedented control over their digital presence. Launching with the Veridian Wallet mobile app, the platform delivers verifiable credentials and robust data security, setting a new standard for trust in the digital age. Credentials Information Sample Passport No more next content Similar products Crowd Crowd Identity & Access Management (IAM) Software Cloudflare Access Cloudflare Access Identity & Access Management (IAM) Software Saviynt Intelligence Saviynt Intelligence Identity & Access Management (IAM) Software Akamai Identity Cloud Akamai Identity Cloud Identity & Access Management (IAM) Software RSA Governance & Lifecycle RSA Governance & Lifecycle Identity & Access Management (IAM) Software Teleport Teleport Identity & Access Management (IAM) Software Sign in to see more Show more Show less Cardano Foundation products Cardano Cardano Blockchain Platforms Cardano Academy Cardano Academy Online Course Platforms Reeve Reeve Enterprise Accounting Software LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/categories/chatbot-software?trk=products_details_guest_product_category | Best Chatbot Software | Products | LinkedIn Skip to main content LinkedIn Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Clear text Used by Used by Marketing Manager (13) Customer Service Specialist (10) Owner (9) Sales And Marketing Specialist (9) Marketing Specialist (9) See all products Find top products in Chatbot Software category Software used to simulate conversation based on natural language input. - Engage users with automated chat for marketing, customer service, or information - Use text or text-to-speech input processing to provide scripted conversation - Respond contextually with standalone language recognition solution - Execute pre-built responses on apps, websites, and social media 273 results Blip Chatbot Software by Blip Use a Inteligência Conversacional da Blip para aumentar receita e fidelidade! Com a plataforma Blip integrada ao super poder da Inteligência Artificial, você oferece uma experiência excepcional ao longo da jornada do cliente — desde marketing, vendas até o suporte. View product RD Station Conversas Chatbot Software by RD Station RD Station Conversas é uma plataforma de atendimento e vendas digitais que promove a integração de diversos canais de comunicação e números de WhatsApp. Assim, você pode centralizar no RD Station Conversas todos os seus canais (WhatsApp. Telegram, Instagram Messenger e Facebook Messenger), permitindo que o time inteiro de atendimento relacione-se com Leads e clientes em um só local. RD Station Conversas pode ser usada por qualquer tipo de negócio que conta com times de vendas e atendimento que usam os canais digitais. Quanto maior for o investimento e relevância digital da marca, maiores são os resultados com o RD Station Conversas. View product Customer Engagement Chatbot Software by Truora Inc. Create automated conversations on WhatsApp and provide customer service, marketing and sales chatbots. View product Chatbot Chatbot Software by Unifonic Unifonic Chatbot is a visual tool for building fully functional chatbots using a drag-and-drop creator. Users can build conversational flows with ease and flexibility in minutes without any coding required. It currently supports WhatsApp, Webchat, Twitter Direct Messenger, and Facebook Messenger. View product Omnichat Chatbot Software by Omnichat (1) Omnichannel CRM Integration: Manage all communication channels in one place, including Official WhatsApp Business API, Facebook, Instagram, WeChat, LINE and Website live chat. 24/7 Chatbot automation：Respond to messages without delay (2) Marketing Automation: Customer Browsing Behaviour Tracking, Abandoned Cart Remarketing through WhatsApp, Facebook and LINE. Gamification and Coupon Marketing. (3) OMO ( Online-Merge-Offline ) Sales: Omnichat’ s system will automatically bind the customer with the specific salesperson for WhatsApp/ LINE 1 on 1 selling. Once customers complete the purchase, the system will calculate the revenue of the salesperson and facilitate cross-channel revenue tracking. (4) Social CDP:Map different social channel identities to an unique profile, Send out messages at specific time frame automatically with a comprehensive customer journey. eg When customers pay first visit, join membership, second purchase, etc. View product Find products trusted by professionals in your network See which products are used by connections in your network and those that share similar job titles Sign in to view full insights ELX Chatbot Chatbot Software by EchoLogyx Ltd Ultimate AI-powered assistant for eCommerce businesses. Automate customer support, boost sales, and improve customer engagement. View product ChatGuru Chatbot Software by ChatGuru Nossas soluções de automação Chatbot ChatGuru para WhatsApp são focadas em aumento de vendas, otimização do atendimento e organização da equipe e atenderão perfeitamente sua empresa, seja qual for seu segmento. Alguns de nossos recursos: • Vários números de WhatsApp em uma única conta. #OTIMIZAÇÃO • Use 1 número WhatsApp com múltiplos usuários #PRATICIDADE • Mensagens rápidas para maior agilidade #AGILIDADE • Gerenciamento de permissões dos agentes #CONTROLE • Integração com CRMs #INTEGRAÇÃO • Funil automático e inteligente #ACOMPANHAMENTO • Banco de respostas automáticas com I.A. #INTELIGÊNCIA • Rodízio de atendimento #ATRIBUIÇÃO • Relatórios customizáveis #PRATICIDADE • Campanhas personalizadas #PERSONALIZAÇÃO • Campos personalizáveis #ADAPTAÇÃO • Anotações internas em atendimentos e contatos #TAGS • Alertas de novos leads gerados no WhatsApp #OTIMIZAÇÃO • Organização por status #ORGANIZAÇÃO Solicite uma demonstração e descubra o CHATGURU! View product Manychat for Facebook Messenger Chatbot Software by Manychat Manychat for Messenger automates conversations to fuel more sales, generate leads, automate FAQs and run marketing campaigns View product Leadster Chatbot Software by Leadster Leadster is a smart chatbot designed to optimize the conversion of website visitors into qualified leads. Unlike traditional chat tools, our technology acts as an automated “sales consultant”: engaging visitors, qualifying opportunities, and routing sales-ready leads to your team. The platform operates as a 24/7 qualification engine—capturing buying intent at the right moment, reducing CAC, and accelerating the sales cycle. Instead of generic forms, we offer an interactive approach that enhances both conversion rates and user experience. With customizable flows and seamless integration with CRMs and marketing tools, Leadster turns your website traffic into a real sales pipeline. All this with easy setup, free trial, and a strong focus on performance. Perfect for companies looking to scale acquisition without relying solely on paid media or SDRs. View product BeyondChats Chatbot Software by BeyondChats - Automate user inquiries on your website with our advanced AI chatbot - Identify users who are most likely to buy your product / service - Analytics to helps you understand: What are your users looking for, Why are they leaving without registering / buying, What is missing on your website View product See more How it works Explore Discover the best product for your need from a growing catalog of 25,000 products and categories trusted by LinkedIn professionals Learn Evaluate new tools, explore trending products in your industry and see who in your network is skilled in the product Grow Join communities of product users to learn best practices, celebrate your progress and accelerate your career LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English Language | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/cardano-foundation-veridian/ | Veridian | LinkedIn Skip to main content LinkedIn Cardano Foundation in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Veridian Identity & Access Management (IAM) Software by Cardano Foundation See who's skilled in this Add as skill Download now Report this product About Veridian is a decentralized identity platform designed to meet the demands of a connected, interoperable digital world. Developed with cutting-edge standards and powered by open infrastructure, Veridian provides a secure and scalable framework for digital identity—across individuals, organizations, and machines. Key Benefits: • Self-sovereign identity through decentralized identifiers (DIDs) • Post-quantum cryptographic security • Industry-compliant verifiable credentials • Cross-platform interoperability and delegated data authority • Full transparency via public, permissionless protocols • Optimized for enterprise, IoT, and low-bandwidth environments Veridian Wallet: Manage identifiers, credentials, and secure connections—all from a single mobile interface. Veridian’s wallet leverages biometric authentication, local key signing, and seamless integration with the Cardano blockchain. Media Products media viewer No more previous content Veridian: The Identity Platform Built for Tomorrow Discover Veridian, the Cardano Foundation's groundbreaking open-source digital identity platform. The next-generation solution empowers individuals and organizations with unprecedented control over their digital presence. Launching with the Veridian Wallet mobile app, the platform delivers verifiable credentials and robust data security, setting a new standard for trust in the digital age. Credentials Information Sample Passport No more next content Similar products Crowd Crowd Identity & Access Management (IAM) Software Cloudflare Access Cloudflare Access Identity & Access Management (IAM) Software Saviynt Intelligence Saviynt Intelligence Identity & Access Management (IAM) Software Akamai Identity Cloud Akamai Identity Cloud Identity & Access Management (IAM) Software RSA Governance & Lifecycle RSA Governance & Lifecycle Identity & Access Management (IAM) Software Teleport Teleport Identity & Access Management (IAM) Software Sign in to see more Show more Show less Cardano Foundation products Cardano Cardano Blockchain Platforms Cardano Academy Cardano Academy Online Course Platforms Reeve Reeve Enterprise Accounting Software LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
https://huggingface.co/datasets/wikimedia/wikipedia | wikimedia/wikipedia · Datasets at Hugging Face Hugging Face Models Datasets Spaces Community Docs Enterprise Pricing Log In Sign Up Datasets: wikimedia / wikipedia like 1.12k Follow Wikimedia 295 Tasks: Text Generation Fill-Mask Modalities: Text Formats: parquet Sub-tasks: language-modeling masked-language-modeling Languages: Abkhaz Achinese Adyghe + 319 Size: 10M - 100M Libraries: Datasets Dask Polars + 1 License: cc-by-sa-3.0 gfdl Dataset card Data Studio Files Files and versions xet Community 73 Dataset Viewer Auto-converted to Parquet API Embed Duplicate Data Studio Subset (323) 20231101.ab · 6.15k rows 20231101.ab (6.15k rows) 20231101.ace (13k rows) 20231101.ady (706 rows) 20231101.af (113k rows) 20231101.als (30k rows) 20231101.alt (1.09k rows) 20231101.am (13.9k rows) 20231101.ami (1.63k rows) 20231101.an (44.2k rows) 20231101.ang (4.12k rows) 20231101.anp (2.75k rows) 20231101.ar (1.22M rows) 20231101.arc (1.94k rows) 20231101.ary (8.09k rows) 20231101.arz (1.62M rows) 20231101.as (12.3k rows) 20231101.ast (133k rows) 20231101.atj (1.97k rows) 20231101.av (3.43k rows) 20231101.avk (28.4k rows) 20231101.awa (3.68k rows) 20231101.ay (5.38k rows) 20231101.az (196k rows) 20231101.azb (243k rows) 20231101.ba (63.3k rows) 20231101.ban (21k rows) 20231101.bar (27.1k rows) 20231101.bat-smg (17.2k rows) 20231101.bcl (15.7k rows) 20231101.be (236k rows) 20231101.be-x-old (84.4k rows) 20231101.bg (294k rows) 20231101.bh (8.61k rows) 20231101.bi (1.55k rows) 20231101.bjn (10.5k rows) 20231101.blk (2.95k rows) 20231101.bm (1.26k rows) 20231101.bn (143k rows) 20231101.bo (12.9k rows) 20231101.bpy (25.2k rows) 20231101.br (84.3k rows) 20231101.bs (92.6k rows) 20231101.bug (15.9k rows) 20231101.bxr (2.79k rows) 20231101.ca (737k rows) 20231101.cbk-zam (3.29k rows) 20231101.cdo (16.4k rows) 20231101.ce (601k rows) 20231101.ceb (6.12M rows) 20231101.ch (576 rows) 20231101.chr (1.11k rows) 20231101.chy (802 rows) 20231101.ckb (52k rows) 20231101.co (7.8k rows) 20231101.cr (187 rows) 20231101.crh (27.7k rows) 20231101.cs (534k rows) 20231101.csb (5.48k rows) 20231101.cu (1.24k rows) 20231101.cv (51.9k rows) 20231101.cy (279k rows) 20231101.da (295k rows) 20231101.dag (10.1k rows) 20231101.de (2.85M rows) 20231101.din (512 rows) 20231101.diq (41.8k rows) 20231101.dsb (3.38k rows) 20231101.dty (3.63k rows) 20231101.dv (4.35k rows) 20231101.dz (788 rows) 20231101.ee (1.18k rows) 20231101.el (227k rows) 20231101.eml (13k rows) 20231101.en (6.41M rows) 20231101.eo (345k rows) 20231101.es (1.84M rows) 20231101.et (240k rows) 20231101.eu (416k rows) 20231101.ext (3.79k rows) 20231101.fa (980k rows) 20231101.fat (1.12k rows) 20231101.ff (2.42k rows) 20231101.fi (562k rows) 20231101.fiu-vro (6.59k rows) 20231101.fj (1.29k rows) 20231101.fo (14.1k rows) 20231101.fon (705 rows) 20231101.fr (2.56M rows) 20231101.frp (5.77k rows) 20231101.frr (18.7k rows) 20231101.fur (4k rows) 20231101.fy (52.4k rows) 20231101.ga (59.2k rows) 20231101.gag (2.97k rows) 20231101.gan (6.74k rows) 20231101.gcr (2.4k rows) 20231101.gd (16k rows) 20231101.gl (200k rows) 20231101.glk (7.05k rows) 20231101.gn (5.52k rows) 20231101.gom (4.26k rows) 20231101.gor (15.4k rows) 20231101.got (1.01k rows) 20231101.gpe (1.11k rows) 20231101.gu (30.4k rows) 20231101.guc (679 rows) 20231101.gur (1.38k rows) 20231101.guw (1.31k rows) 20231101.gv (6.21k rows) 20231101.ha (36.5k rows) 20231101.hak (10.2k rows) 20231101.haw (2.61k rows) 20231101.he (334k rows) 20231101.hi (163k rows) 20231101.hif (11k rows) 20231101.hr (203k rows) 20231101.hsb (14k rows) 20231101.ht (70.2k rows) 20231101.hu (532k rows) 20231101.hy (303k rows) <option value= | 2026-01-13T09:29:17 |
https://www.linkedin.com/legal/user-agreement?session_redirect=https%3A%2F%2Fwww%2Elinkedin%2Ecom%2Ffeed%2Fhashtag%2Fteamfuse&trk=registration-frontend_join-form-user-agreement | User Agreement | LinkedIn Skip to main content User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws User Agreement Effective on November 3, 2025 Our mission is to connect the world’s professionals to allow them to be more productive and successful. Our services are designed to promote economic opportunity for our members by enabling you and millions of other professionals to meet, exchange ideas, learn, and find opportunities or employees, work, and make decisions in a network of trusted relationships. Table of Contents: Introduction Obligations Rights and Limits Disclaimer and Limit of Liability Termination Governing Law and Dispute Resolution General Terms LinkedIn “Dos and Don’ts” Complaints Regarding Content How To Contact Us Introduction 1.1 Contract When you use our Services you agree to all of these terms. Your use of our Services is also subject to our Cookie Policy and our Privacy Policy, which covers how we collect, use, share, and store your personal information. By creating a LinkedIn account or accessing or using our Services (described below), you are agreeing to enter into a legally binding contract with LinkedIn (even if you are using third party credentials or using our Services on behalf of a company). If you do not agree to this contract (“Contract” or “User Agreement”), do not create an account or access or otherwise use any of our Services. If you wish to terminate this Contract at any time, you can do so by closing your account and no longer accessing or using our Services. As a Visitor or Member of our Services, the collection, use, and sharing of your personal data is subject to our Privacy Policy , our Cookie Policy and other documents referenced in our Privacy Policy , and updates. You acknowledge and have read our Privacy Policy . Services This Contract applies to LinkedIn.com, LinkedIn-branded apps, and other LinkedIn-related sites, apps, communications, and other services that state that they are offered under this Contract (“Services”), including the offsite collection of data for those Services, such as via our ads and the “Apply with LinkedIn” and “Share with LinkedIn” plugins. LinkedIn and other Key Terms You are entering into this Contract with LinkedIn (also referred to as “we” and “us”). Designated Countries . We use the term “Designated Countries” to refer to countries in the European Union (EU), European Economic Area (EEA), and Switzerland. If you reside in the “Designated Countries”, you are entering into this Contract with LinkedIn Ireland Unlimited Company (“LinkedIn Ireland”) and LinkedIn Ireland will be the controller of your personal data provided to, or collected by or for, or processed in connection with our Services. If you reside outside of the “Designated Countries”, you are entering into this Contract with LinkedIn Corporation (“LinkedIn Corp.”) and LinkedIn Corp. will be the controller of (or business responsible for) your personal data provided to, or collected by or for, or processed in connection with our Services. Affiliates . Affiliates are companies controlling, controlled by or under common control with us, including, for example, LinkedIn Ireland, LinkedIn Corporation, LinkedIn Singapore and Microsoft Corporation or any of its subsidiaries (e.g., Github, Inc.). Social Action . Actions that members take on our services such as likes, comments, follows, sharing content. Content . Content includes, for example, feed posts, feedback, comments, profiles, articles (and contributions), group posts, job postings, messages (including InMails), videos, photos, audio, and/or PDFs. 1.2 Members and Visitors This Contract applies to Members and Visitors. When you register and join the LinkedIn Services, you become a “Member”. If you have chosen not to register for our Services, you may access certain features as a “Visitor.” 1.3 Changes We may make changes to this Contract. We may modify this Contract, our Privacy Policy and our Cookie Policy from time to time. If we materially change these terms or if we are legally required to provide notice, we will provide you notice through our Services, or by other means, to provide you the opportunity to review the changes before they become effective. However, we may not always provide prior notice of changes to these terms (1) when those changes are legally required to be implemented with immediate effect, or (2) when those changes relate to a newly launched service or feature. We agree that changes cannot be retroactive. If you object to any of these changes, you may close your account . Your continued use of our Services after we publish or send a notice about our changes to these terms means that you are consenting to the updated terms as of their effective date. 2. Obligations 2.1 Service Eligibility Here are some promises that you make to us in this Contract: You’re eligible to enter into this Contract and you are at least our “Minimum Age.” The Services are not for use by anyone under the age of 16. To use the Services, you agree that: (1) you must be the "Minimum Age" (described below) or older; (2) you will only have one LinkedIn account, which must be in your real name; and (3) you are not already restricted by LinkedIn from using the Services. Creating an account with false information is a violation of our terms, including accounts registered on behalf of others or persons under the age of 16. “Minimum Age” means 16 years old. However, if law requires that you must be older in order for LinkedIn to lawfully provide the Services to you without parental consent (including using your personal data) then the Minimum Age is such older age. Learn More 2.2 Your Account You will keep your password a secret You will not share your account with anyone else and will follow our policies and the law. Members are account holders. You agree to: (1) protect against wrongful access to your account (e.g., use a strong password and keep it confidential); (2) not share or transfer your account or any part of it (e.g., sell or transfer the personal data of others by transferring your connections); and (3) follow the law, our list of Dos and Don’ts (below), and our Professional Community Policies . Learn More You are responsible for anything that happens through your account unless you close it or report misuse. As between you and others (including your employer), your account belongs to you. However, if the Services were purchased by another party for you to use in connection with your work for them (e.g., Recruiter seat or LinkedIn Learning subscription bought by your employer), the party paying for such Service has the right to control access to and get reports on your use of such paid Service; however, they do not have rights to your personal account. 2.3 Payment You’ll honor your payment obligations and you are okay with us storing your payment information. You understand that there may be fees and taxes that are added to our prices. Refunds are subject to our policy, and we may modify our prices and those modified prices will apply prospectively. If you buy any of our paid Services, you agree to pay us the applicable fees and taxes and you agree to the additional terms specific to the paid Services. Failure to pay these fees will result in the termination of your paid Services. Also, you agree that: Your purchase may be subject to foreign exchange fees or differences in prices based on location (e.g., exchange rates). We may store and continue billing your payment method (e.g., credit card), even after it has expired, to avoid interruptions in your paid Services and to use it to pay for other Services you may buy. If your primary payment method fails, we may automatically charge a secondary payment method, if you have provided one. You may update or change your payment method. Learn more If you purchase a subscription, your payment method automatically will be charged at the start of each subscription period for the fees and taxes applicable to that period. To avoid future charges, cancel before the renewal date. Learn how to cancel or suspend your paid subscription Services. We may modify our prices effective prospectively upon reasonable notice to the extent allowed under the law. All of your paid Services are subject to LinkedIn’s refund policy . We may calculate taxes payable by you based on the billing information that you provide us. You can get a copy of your invoice through your LinkedIn account settings under “ Purchase History ”. 2.4 Notices and Messages You’re okay with us providing notices and messages to you through our websites, apps, and contact information. If your contact information is out of date, you may miss out on important notices. You agree that we will provide notices and messages to you in the following ways: (1) within the Services or (2) sent to the contact information you provided us (e.g., email, mobile number, physical address). You agree to keep your contact information up to date. Please review your settings to control and limit the types of messages you receive from us. 2.5 Sharing When you share information on our Services, others can see, copy and use that information. Our Services allow sharing of information (including content) in many ways, such as through your profile, posts, articles, group posts, links to news articles, job postings, messages, and InMails. Depending on the feature and choices you make, information that you share may be seen by other Members, Visitors, or others (on or off of the Services). Where we have made settings available, we will honor the choices you make about who can see content or other information (e.g., message content to your addressees, sharing content only to LinkedIn connections, restricting your profile visibility from search tools, or opting not to notify others of your LinkedIn profile update). For job searching activities, we default to not notifying your connections or the public. So, if you apply for a job through our Services or opt to signal that you are interested in a job, our default is to share it only with the job poster. To the extent that laws allow this, we are not obligated to publish any content or other information on our Services and can remove it with or without notice. 3. Rights and Limits 3.1. Your License to LinkedIn You own all of your original content that you provide to us, but you also grant us a non-exclusive license to it. We’ll honor the choices you make about who gets to see your content, including how it can be used for ads. As between you and LinkedIn, you own your original content that you submit or post to the Services. You grant LinkedIn and our Affiliates the following non-exclusive license to the content and other information you provide (e.g., share, post, upload, and/or otherwise submit) to our Services: A worldwide, transferable and sublicensable right to use, copy, modify, distribute, publicly perform and display, host, and process your content and other information without any further consent, notice and/or compensation to you or others. These rights are limited in the following ways: You can end this license for specific content by deleting such content from the Services, or generally by closing your account, except (a) to the extent you (1) shared it with others as part of the Services and they copied, re-shared it or stored it, (2) we had already sublicensed others prior to your content removal or closing of your account, or (3) we are required by law to retain or share it with others, and (b) for the reasonable time it takes to remove the content you delete from backup and other systems. We will not include your content in advertisements for the products and services of third parties to others without your separate consent (including sponsored content). However, without compensation to you or others, ads may be served near your content and other information, and your social actions may be visible and included with ads, as noted in the Privacy Policy. If you use a Service feature, we may mention that with your name or photo to promote that feature within our Services, subject to your settings. We will honor the audience choices for shared content (e.g., “Connections only”). For example, if you choose to share your post to "Anyone on or off LinkedIn” (or similar): (a) we may make it available off LinkedIn; (b) we may enable others to publicly share onto third-party services (e.g., a Member embedding your post on a third party service); and/or (c) we may enable search tools to make that public content findable though their services. Learn More While we may edit and make format changes to your content (such as translating or transcribing it, modifying the size, layout or file type, and removing or adding labels or metadata), we will take steps to avoid materially modifying the meaning of your expression in content you share with others. Because you own your original content and we only have non-exclusive rights to it, you may choose to make it available to others, including under the terms of a Creative Commons license . You and LinkedIn agree that if content includes personal data, it is subject to our Privacy Policy. You and LinkedIn agree that we may access, store, process, and use any information (including content and/or personal data) that you provide in accordance with the terms of the Privacy Policy and your choices (including settings). By submitting suggestions or other feedback regarding our Services to LinkedIn, you agree that LinkedIn can use and share (but does not have to) such feedback for any purpose without compensation to you. You promise to only provide content and other information that you have the right to share and that your LinkedIn profile will be truthful. You agree to only provide content and other information that does not violate the law or anyone’s rights (including intellectual property rights). You have choices about how much information to provide on your profile but also agree that the profile information you provide will be truthful. LinkedIn may be required by law to remove certain content and other information in certain countries. 3.2 Service Availability We may change or limit the availability of some features, or end any Service. We may change, suspend or discontinue any of our Services. We may also limit the availability of features, content and other information so that they are not available to all Visitors or Members (e.g., by country or by subscription access). We don’t promise to store or show (or keep showing) any information (including content) that you’ve shared. LinkedIn is not a storage service. You agree that we have no obligation to store, maintain or provide you a copy of any content or other information that you or others provide, except to the extent required by applicable law and as noted in our Privacy Policy. 3.3 Other Content, Sites and Apps Your use of others’ content and information posted on our Services, is at your own risk. Others may offer their own products and services through our Services, and we aren’t responsible for those third-party activities. Others’ Content: By using the Services, you may encounter content or other information that might be inaccurate, incomplete, delayed, misleading, illegal, offensive, or otherwise harmful. You agree that we are not responsible for content or other information made available through or within the Services by others, including Members. While we apply automated tools to review much of the content and other information presented in the Services, we cannot always prevent misuse of our Services, and you agree that we are not responsible for any such misuse. You also acknowledge the risk that others may share inaccurate or misleading information about you or your organization, and that you or your organization may be mistakenly associated with content about others, for example, when we let connections and followers know you or your organization were mentioned in the news. Members have choices about this feature . Others’ Products and Services: LinkedIn may help connect you to other Members (e.g., Members using Services Marketplace or our enterprise recruiting, jobs, sales, or marketing products) who offer you opportunities (on behalf of themselves, their organizations, or others) such as offers to become a candidate for employment or other work or offers to purchase products or services. You acknowledge that LinkedIn does not perform these offered services, employ those who perform these services, or provide these offered products. You further acknowledge that LinkedIn does not supervise, direct, control, or monitor Members in the making of these offers, or in their providing you with work, delivering products or performing services, and you agree that (1) LinkedIn is not responsible for these offers, or performance or procurement of them, (2) LinkedIn does not endorse any particular Member’s offers, and (3) LinkedIn is not an agent or employment agency on behalf of any Member offering employment or other work, products or services. With respect to employment or other work, LinkedIn does not make employment or hiring decisions on behalf of Members offering opportunities and does not have such authority from Members or organizations using our products. For Services Marketplace , (a) you must be at least 18 years of age to procure, offer, or perform services, and (b) you represent and warrant that you have all the required licenses and will provide services consistent with the relevant industry standards and our Professional Community Policies . Others’ Events: Similarly, LinkedIn may help you register for and/or attend events organized by Members and connect with other Members who are attendees at such events. You agree that (1) LinkedIn is not responsible for the conduct of any of the Members or other attendees at such events, (2) LinkedIn does not endorse any particular event listed on our Services, (3) LinkedIn does not review and/or vet any of these events or speakers, and (4) you will adhere to the terms and conditions that apply to such events. 3.4 Limits We have the right to limit how you connect and interact on our Services. LinkedIn reserves the right to limit your use of the Services, including the number of your connections and your ability to contact other Members. LinkedIn reserves the right to restrict, suspend, or terminate your account if you breach this Contract or the law or are misusing the Services (e.g., violating any of the Dos and Don’ts or Professional Community Policies ). We can also remove any content or other information you shared if we believe it violates our Professional Community Policies or Dos and Don’ts or otherwise violates this Contract. Learn more about how we moderate content. 3.5 Intellectual Property Rights We’re providing you notice about our intellectual property rights. LinkedIn reserves all of its intellectual property rights in the Services. Trademarks and logos used in connection with the Services are the trademarks of their respective owners. LinkedIn, and “in” logos and other LinkedIn trademarks, service marks, graphics and logos used for our Services are trademarks or registered trademarks of LinkedIn. 3.6 Recommendations and Automated Processing We use data and other information about you to make and order relevant suggestions and to generate content for you and others. Recommendations: We use the data and other information that you provide and that we have about Members and content on the Services to make recommendations for connections, content, ads, and features that may be useful to you. We use that data and other information to recommend and to present information to you in an order that may be more relevant for you. For example, that data and information may be used to recommend jobs to you and you to recruiters and to organize content in your feed in order to optimize your experience and use of the Services. Keeping your profile accurate and up to date helps us to make these recommendations more accurate and relevant. Learn More Generative AI Features: By using the Services, you may interact with features we offer that automate content generation for you. The content that is generated might be inaccurate, incomplete, delayed, misleading or not suitable for your purposes. Please review and edit such content before sharing with others. Like all content you share on our Services, you are responsible for ensuring it complies with our Professional Community Policies , including not sharing misleading information. The Services may include content automatically generated and shared using tools offered by LinkedIn or others off LinkedIn. Like all content and other information on our Services, regardless of whether it's labeled as created by “AI”, be sure to carefully review before relying on it. 4. Disclaimer and Limit of Liability 4.1 No Warranty This is our disclaimer of legal liability for the quality, safety, or reliability of our Services. LINKEDIN AND ITS AFFILIATES MAKE NO REPRESENTATION OR WARRANTY ABOUT THE SERVICES, INCLUDING ANY REPRESENTATION THAT THE SERVICES WILL BE UNINTERRUPTED OR ERROR-FREE, AND PROVIDE THE SERVICES (INCLUDING CONTENT, OUTPUT AND INFORMATION) ON AN “AS IS” AND “AS AVAILABLE” BASIS. TO THE FULLEST EXTENT PERMITTED UNDER APPLICABLE LAW, LINKEDIN AND ITS AFFILIATES DISCLAIM ANY IMPLIED OR STATUTORY WARRANTY, INCLUDING ANY IMPLIED WARRANTY OF TITLE, ACCURACY, NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. If you plan to use content, output and information for any reason, it is your responsibility to verify its accuracy and fitness for your purposes, because any content, output and information on the service may not reflect accurate, complete, or current information. 4.2 Exclusion of Liability These are the limits of legal liability we may have to you. TO THE FULLEST EXTENT PERMITTED BY LAW (AND UNLESS LINKEDIN HAS ENTERED INTO A SEPARATE WRITTEN AGREEMENT THAT OVERRIDES THIS CONTRACT), LINKEDIN AND ITS AFFILIATES, WILL NOT BE LIABLE IN CONNECTION WITH THIS CONTRACT FOR LOST PROFITS OR LOST BUSINESS OPPORTUNITIES, REPUTATION (E.G., OFFENSIVE OR DEFAMATORY STATEMENTS), LOSS OF DATA (E.G., DOWN TIME OR LOSS, USE OF, OR CHANGES TO, YOUR INFORMATION OR CONTENT) OR ANY INDIRECT, INCIDENTAL, CONSEQUENTIAL, SPECIAL OR PUNITIVE DAMAGES. LINKEDIN AND ITS AFFILIATES WILL NOT BE LIABLE TO YOU IN CONNECTION WITH THIS CONTRACT FOR ANY AMOUNT THAT EXCEEDS (A) THE TOTAL FEES PAID OR PAYABLE BY YOU TO LINKEDIN FOR THE SERVICES DURING THE TERM OF THIS CONTRACT, IF ANY, OR (B) US $1000. 4.3 Basis of the Bargain; Exclusions The limitations of liability in this Section 4 are part of the basis of the bargain between you and LinkedIn and shall apply to all claims of liability (e.g., warranty, tort, negligence, contract and law) even if LinkedIn or its affiliates has been told of the possibility of any such damage, and even if these remedies fail their essential purpose. THESE LIMITATIONS OF LIABILITY DO NOT APPLY TO LIABILITY FOR DEATH OR PERSONAL INJURY OR FOR FRAUD, GROSS NEGLIGENCE OR INTENTIONAL MISCONDUCT, OR IN CASES OF NEGLIGENCE, WHERE A MATERIAL OBLIGATION HAS BEEN BREACHED. A MATERIAL OBLIGATION BEING AN OBLIGATION WHICH FORMS A PREREQUISITE TO OUR DELIVERY OF SERVICES AND ON WHICH YOU MAY REASONABLY RELY, BUT ONLY TO THE EXTENT THAT THE DAMAGES WERE DIRECTLY CAUSED BY THE BREACH AND WERE FORESEEABLE UPON CONCLUSION OF THIS CONTRACT AND TO THE EXTENT THAT THEY ARE TYPICAL IN THE CONTEXT OF THIS CONTRACT. 5. Termination We can each end this Contract, but some rights and obligations survive. Both you and LinkedIn may terminate this Contract at any time with notice to the other. On termination, you lose the right to access or use the Services. The following shall survive termination: Our rights to use and disclose your feedback; Section 3 (subject to 3.1.1); Sections 4, 6, 7, and 8.2 of this Contract; and Any amounts owed by either party prior to termination remain owed after termination. You can visit our Help Center to learn about how to close your account 6. Governing Law and Dispute Resolution In the unlikely event we end up in a legal dispute, depending on where you live, you and LinkedIn agree to resolve it in California courts using California law, Dublin, Ireland courts using Irish law, or as otherwise provided in this section. If you live in the Designated Countries, the laws of Ireland govern all claims related to LinkedIn's provision of the Services, but this shall not deprive you of the mandatory consumer protections under the law of the country to which we direct your Services where you have habitual residence. With respect to jurisdiction, you and LinkedIn agree to choose the courts of the country to which we direct your Services where you have habitual residence for all disputes arising out of or relating to this User Agreement, or in the alternative, you may choose the responsible court in Ireland. If you are a business user within the scope of Article 6(12) of the EU Digital Markets Act (“DMA”) and have a dispute arising out of or in connection with Article 6(12) of the DMA, you may also utilize the alternative dispute resolution mechanism available in the Help Center . For others outside of Designated Countries, including those who live outside of the United States: You and LinkedIn agree that the laws of the State of California, U.S.A., excluding its conflict of laws rules, shall exclusively govern any dispute relating to this Contract and/or the Services. You and LinkedIn both agree that all claims and disputes can be litigated only in the federal or state courts in Santa Clara County, California, USA, and you and LinkedIn each agree to personal jurisdiction in those courts. You may have additional rights of redress and appeal for some decisions made by LinkedIn that impact you. 7. General Terms Here are some important details about the Contract. If a court with authority over this Contract finds any part of it unenforceable, you and we agree that the court should modify the terms to make that part enforceable while still achieving its intent. If the court cannot do that, you and we agree to ask the court to remove that unenforceable part and still enforce the rest of this Contract. This Contract (including additional terms that may be provided by us when you engage with a feature of the Services) is the only agreement between us regarding the Services and supersedes all prior agreements for the Services. If we don't act to enforce a breach of this Contract, that does not mean that LinkedIn has waived its right to enforce this Contract. You may not assign or transfer this Contract (or your membership or use of Services) to anyone without our consent. However, you agree that LinkedIn may assign this Contract to its affiliates or a party that buys it without your consent. There are no third-party beneficiaries to this Contract. 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https://scholar.google.com/citations?user=8-zdk9wAAAAJ&hl=ko&oe=ASCII | Jianfeng Dong - Google 학술 검색 로드 중... 현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요. 연간 인용횟수 중복된 서지정보 다음 학술 문서는 학술검색에서 병합되어 있습니다. 총 인용 횟수가 첫 번째 학술 문서에 대해서만 계산됩니다. 병합된 서지정보 이 '인용' 횟수는 학술검색의 다음 학술 문서에 대한 인용문을 포함합니다. * 표시된 인용문은 프로필에 있는 학술 문서와 다를 수 있습니다. 공동 저자 추가 공동 저자 팔로우 이 저자의 새 학술자료 이 저자를 인용한 새 학술자료 이 저자의 연구와 관련된 새 학술자료 업데이트를 받을 이메일 주소 완료 죄송합니다. 현재 Internet Explorer 버전에서는 일부 기능이 작동하지 않을 수 있습니다. 최적의 상태로 사용하려면 Chrome 또는 Mozilla Firefox 를 사용해 주세요. 내 프로필 내 서재 통계 알리미 설정 로그인 로그인 내 프로필 만들기 인용 모두 보기 전체 2021년 이후 서지정보 3975 3486 h-index 29 29 i10-index 62 59 0 1000 500 250 750 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 56 65 144 204 397 584 666 819 1000 15 공개 액세스 모두 보기 모두 보기 자료 46개 자료 9개 공개 비공개 재정 지원 요구사항 기준 공동 저자 Xirong Li (李锡荣) Professor of CS, Renmin University of China ruc.edu.cn의 이메일 확인됨 Xiaoye Qu Shanghai AI Lab hust.edu.cn의 이메일 확인됨 Daizong Liu Wuhan University whu.edu.cn의 이메일 확인됨 Xun Yang University of Science and Technology of China ustc.edu.cn의 이메일 확인됨 Yuan He Alibaba Group alibaba-inc.com의 이메일 확인됨 Meng Wang, IEEE Fellow, IAPR Fellow Hefei University of Technology hfut.edu.cn의 이메일 확인됨 Cees G. M. Snoek Professor of Computer Science, University of Amsterdam uva.nl의 이메일 확인됨 Dacheng Tao Nanyang Technological University ntu.edu.sg의 이메일 확인됨 팔로우 Jianfeng Dong Zhejiang Gongshang University zjgsu.edu.cn의 이메일 확인됨 - 홈페이지 Multimedia Retrieval Computer Vision 학술자료 인용 공개 액세스 공동 저자 제목 정렬 서지정보순 정렬 연도순 정렬 제목순 정렬 인용 인용 연도 Predicting visual features from text for image and video caption retrieval J Dong, X Li, CGM Snoek IEEE Transactions on Multimedia 20 (12), 3377-3388 , 2018 371 * 2018 Dual encoding for zero-example video retrieval J Dong, X Li, C Xu, S Ji, Y He, G Yang, X Wang Proceedings of the IEEE/CVF conference on computer vision and pattern�… , 2019 351 2019 Dual encoding for video retrieval by text J Dong, X Li, C Xu, X Yang, G Yang, X Wang, M Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4065-4080 , 2021 282 2021 Context-aware biaffine localizing network for temporal sentence grounding D Liu, X Qu, J Dong, P Zhou, Y Cheng, W Wei, Z Xu, Y Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern�… , 2021 206 2021 W2VV++: Fully Deep Learning for Ad-hoc Video Search X Li, C Xu, G Yang, Z Chen, J Dong Proceedings of the 27th ACM International Conference on Multimedia, 1786-1794 , 2019 179 2019 Jointly cross-and self-modal graph attention network for query-based moment localization D Liu, X Qu, XY Liu, J Dong, P Zhou, Z Xu Proceedings of the 28th ACM International Conference on Multimedia, 4070-4078 , 2020 163 2020 Tree-augmented cross-modal encoding for complex-query video retrieval X Yang, J Dong, Y Cao, X Wang, M Wang, TS Chua Proceedings of the 43rd international ACM SIGIR conference on research and�… , 2020 154 2020 Video moment retrieval with cross-modal neural architecture search X Yang, S Wang, J Dong, J Dong, M Wang, TS Chua IEEE Transactions on Image Processing 31, 1204-1216 , 2022 133 2022 Exploring human-like attention supervision in visual question answering T Qiao, J Dong, D Xu Proceedings of the AAAI conference on artificial intelligence 32 (1) , 2018 132 2018 Fluency-guided cross-lingual image captioning W Lan, X Li, J Dong Proceedings of the 25th ACM international conference on Multimedia, 1549-1557 , 2017 120 2017 Adding chinese captions to images X Li, W Lan, J Dong, H Liu Proceedings of the 2016 ACM on international conference on multimedia�… , 2016 112 2016 Fine-grained iterative attention network for temporal language localization in videos X Qu, P Tang, Z Zou, Y Cheng, J Dong, P Zhou, Z Xu Proceedings of the 28th ACM International Conference on Multimedia, 4280-4288 , 2020 111 2020 Early embedding and late reranking for video captioning J Dong, X Li, W Lan, Y Huo, CGM Snoek Proceedings of the 24th ACM international conference on Multimedia, 1082-1086 , 2016 94 2016 Reading-strategy inspired visual representation learning for text-to-video retrieval J Dong, Y Wang, X Chen, X Qu, X Li, Y He, X Wang IEEE transactions on circuits and systems for video technology 32 (8), 5680-5694 , 2022 89 2022 Partially relevant video retrieval J Dong, X Chen, M Zhang, X Yang, S Chen, X Li, X Wang Proceedings of the 30th ACM International Conference on Multimedia, 246-257 , 2022 86 2022 Hierarchical contrast for unsupervised skeleton-based action representation learning J Dong, S Sun, Z Liu, S Chen, B Liu, X Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 525-533 , 2023 74 2023 Adaptive proposal generation network for temporal sentence localization in videos D Liu, X Qu, J Dong, P Zhou arXiv preprint arXiv:2109.06398 , 2021 73 2021 Exploring rich semantics for open-set action recognition Y Hu, J Gao, J Dong, B Fan, H Liu IEEE Transactions on Multimedia 26, 5410-5421 , 2023 70 2023 Fine-grained fashion similarity learning by attribute-specific embedding network Z Ma, J Dong, Z Long, Y Zhang, Y He, H Xue, S Ji Proceedings of the AAAI Conference on artificial intelligence 34 (07), 11741�… , 2020 66 2020 Progressive localization networks for language-based moment localization Q Zheng, J Dong, X Qu, X Yang, Y Wang, P Zhou, B Liu, X Wang ACM Transactions on Multimedia Computing, Communications and Applications 19�… , 2023 60 2023 현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요. 학술자료 1–20 더보기 개인정보처리방침 약관 도움말 학술검색 정보 검색 도움말 | 2026-01-13T09:29:17 |
https://www.ecma-international.org/publications-and-standards/standards/ecma-334/ | ECMA-334 - Ecma International Link to X Link to LinkedIn Artboard Created with Sketch. About Ecma Mission Areas of work Organisation Members Meeting calendar History Awards Join Ecma Publications and standards Standards Technical Reports Mementos Get involved Committees Policies Ecma By-laws Ecma Rules Ecma IPR policies Ecma awards policy News Contact Click to open the search input field Click to open the search input field Search Menu Menu Back to the list ECMA-334 C# language specification 7th edition, December 2023 This specification describes the form and establishes the interpretation of programs written in the C# programming language. It describes The representation of C# programs; The syntax and constraints of the C# language; The semantic rules for interpreting C# programs; The restrictions and limits imposed by a conforming implementation of C#. This specification does not describe The mechanism by which C# programs are transformed for use by a data-processing system; The mechanism by which C# applications are invoked for use by a data-processing system; The mechanism by which input data are transformed for use by a C# application; The mechanism by which output data are transformed after being produced by a C# application; The size or complexity of a program and its data that will exceed the capacity of any specific data-processing system or the capacity of a particular processor; All minimal requirements of a data-processing system that is capable of supporting a conforming implementation. Microsoft Visual C# Version Corresponding Ecma Standard Corresponding ISO/IEC Standard V1 ECMA-334:2003 ISO/IEC 23270:2003 V2 ECMA-334:2006 ISO/IEC 23270:2006 V3 none none V4 none none V5 ECMA-334:2017 ISO/IEC 23270:2018 V6 ECMA-334:2022 none V7 ECMA-334:2023 ISO/IEC 20619:2023 (which includes by reference the latest edition of ECMA-334) Download this standard Classification Category Software engineering and interfaces Subcategory Programming languages Technical Committee TC49 ISO/IEC number 23270 Archives ECMA-334, 1st edition, December 2001 Download ECMA-334, 2nd edition, December 2002 Download ECMA-334, 3rd edition, June 2005 Download ECMA-334, 4th edition, June 2006 Download ECMA-334, 5th edition, December 2017 Download ECMA-334, 6th edition, June 2022 Download Resources ECMA-334 Hewlett-Packard patent statement Download ECMA-334 Microsoft patent statement Download Ecma International Rue du Rhône 114 1204 Geneva Switzerland About Ecma Publications and standards Policies Contact Committees News Privacy policy Members only Twitter Linkedin Link to: ECMA-285 Link to: ECMA-285 ECMA-285 Link to: ECMA-335 Link to: ECMA-335 ECMA-335 Scroll to top Scroll to top Scroll to top This site uses cookies. By continuing to browse the site, you are agreeing to our use of cookies. Accept Manage Cookie and privacy settings Necessary cookies Essential cookies are strictly necessary for the proper operation of our site. In particular, they govern the principles of navigation and memorize some of your choices between pages. If you refuse them, your browsing experience may be affected. Analytics cookies Analysis cookies collect statistical and anonymous information on the traffic recorded on our site. They help us to improve our pages, in order to better meet our users' expectations. If you do not want us to record your visit, you can disable this tracking. Click to enable/disable Google Analytics tracking. Additional services We also use various external services such as Google WebFonts and Google Maps. These providers may collect data such as your IP address. If you deactivate these cookies, the appearance of our site may have a negative impact on your reading experience. Changes will take effect once you reload the page. Click to enable/disable Google Webfonts. Click to enable/disable Google Maps. Privacy policy You can find out more about our use of cookies on our privacy policy page. Save Deactivate all cookies Check to enable permanent hiding of message bar and refuse all cookies if you do not opt in. We need 2 cookies to store this setting. Otherwise you will be prompted again when opening a new browser window or new a tab. Click to enable/disable essential site cookies. | 2026-01-13T09:29:17 |
https://www.linkedin.com/products/zoho-webinar/ | Zoho Webinar | LinkedIn Skip to main content LinkedIn Zoho in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Zoho Webinar Webinar Software by Zoho See who's skilled in this Add as skill Try now Report this product About Discover Zoho Webinar: your trusted, robust, and secure online learning solution. Seamlessly host dynamic live webinars using our intuitive platform. Captivate your audience with live streaming, integrated videos, and virtual conferences. Our Mobile Webinar feature ensures universal accessibility. Elevate your brand with customizable branding for a polished and professional touch. Step into the realm of virtual collaboration and knowledge exchange with Zoho Webinar! This product is intended for Marketing Manager Sales And Marketing Specialist University Teacher Human Resource Information System Manager Chief Executive Officer Project Lead Project Manager Entrepreneur Small Business Owner Marketing Consultant Media Products media viewer No more previous content Get to know Zoho Webinar Zoho Webinars for Interactive Virtual Experiences Seamlessly connect, educate, and inspire your audience through dynamic virtual events. Organize webinars with up to 5000 attendees. Capture a wider audience by hosting engaging webinar events and amplifying your reach by live streaming them on social media platforms. Seamless Content Sharing: Zoho Webinar's Share Material Feature Effortlessly share documents, presentations, and resources in real-time, engaging your audience like never before. Enhance Visual Engagement with the Zoho Webinar's Dynamic Screen Share Feature Share your screen in real-time, enriching presentations, demos, and discussions. No more next content Similar products Intermedia Anymeeting Webinars Intermedia Anymeeting Webinars Webinar Software BrightTALK Channel BrightTALK Channel Webinar Software Livestorm Livestorm Webinar Software WebinarJam WebinarJam Webinar Software Webinar Management Software Webinar Management Software Webinar Software WebinarGeek WebinarGeek Webinar Software Sign in to see more Show more Show less Zoho products Bigin by Zoho CRM Bigin by Zoho CRM Customer Relationship Management (CRM) Software Zoho Analytics Zoho Analytics Business Intelligence (BI) Software Zoho Commerce Zoho Commerce E-Commerce Platforms Zoho DataPrep Zoho DataPrep Data Preparation Tools Zoho Forms Zoho Forms Online Form Builder Software Zoho FSM Zoho FSM Field Service Management (FSM) Software Zoho One Zoho One Business Management Software Zoho People Zoho People Human Resources Management Systems (HRMS) Zoho RPA Zoho RPA Robotic Process Automation (RPA) Software Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:17 |
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