Find_evidence.py

{
  "project": {
    "title": "Social Media Bot Detection using Dropout-GAN",
    "arxiv": "2311.05079",
    "journal_doi": "10.1007/s11416-024-00521-5"
  },
  "authors": [
    {
      "name": "Anant Shukla",
      "role": "Lead Author",
      "affiliation": "San Jose State University",
      "country": "United States",
      "research_areas": [
        "Machine Learning",
        "Social Media Bot Detection",
        "Cybersecurity",
        "Generative Adversarial Networks"
      ],
      "known_publications": [
        {
          "title": "Social Media Bot Detection using Dropout-GAN",
          "year": 2024,
          "doi": "10.1007/s11416-024-00521-5"
        }
      ],
      "collaborators": [
        "Martin Jureček",
        "Mark Stamp"
      ],
      "profiles": {
        "google_scholar": "https://scholar.google.com/citations?hl=en&user=HjHvsmsAAAAJ"
      },
      "notes": {
        "public_activity": "Graduate-level research in machine learning and cybersecurity.",
        "known_industry_affiliations": []
      }
    },
    {
      "name": "Martin Jureček",
      "role": "Co-author",
      "affiliation": "Czech Technical University in Prague",
      "department": "Department of Information Security",
      "country": "Czech Republic",
      "position": "Assistant Professor",
      "research_areas": [
        "Cybersecurity",
        "Malware Analysis",
        "Machine Learning",
        "Graph Neural Networks",
        "Adversarial Machine Learning"
      ],
      "previous_experience": [
        "Malware Research",
        "Data Science"
      ],
      "known_publications": [
        "Social Media Bot Detection using Dropout-GAN",
        "Classification and Online Clustering of Zero-Day Malware",
        "Creating Valid Adversarial Examples of Malware",
        "Comparison of Adversarial Malware Generators",
        "Reducing Overdefined Polynomial Systems using Data Mining"
      ],
      "collaborators": [
        "Mark Stamp",
        "Fabio Di Troia",
        "Matouš Kozák",
        "Pavla Louthánová",
        "Anant Shukla"
      ],
      "profiles": {
        "faculty_page": "https://fit.cvut.cz/en/faculty/people/5155-mgr-martin-jurecek-ph-d",
        "publications": "https://jurecmar.pages.fit/publications.html",
        "google_scholar": "https://scholar.google.com/citations?user=klDL2bQAAAAJ"
      }
    },
    {
      "name": "Mark Stamp",
      "role": "Senior Author",
      "affiliation": "San Jose State University",
      "country": "United States",
      "position": "Professor",
      "research_areas": [
        "Information Security",
        "Machine Learning",
        "Malware Detection",
        "Digital Forensics",
        "Cryptography"
      ],
      "known_publications": [
        "Social Media Bot Detection using Dropout-GAN",
        "Numerous malware analysis publications",
        "Machine Learning for Cybersecurity",
        "Digital Forensics research"
      ],
      "books": [
        "Information Security: Principles and Practice"
      ],
      "collaborators": [
        "Martin Jureček",
        "Anant Shukla",
        "Fabio Di Troia",
        "Numerous San Jose State University researchers"
      ],
      "recognitions": [
        "Widely cited cybersecurity researcher"
      ]
    }
  ],
  "paper": {
    "title": "Social Media Bot Detection using Dropout-GAN",
    "publication_year": 2024,
    "submitted": "2023-11-09",
    "keywords": [
      "GAN",
      "Dropout-GAN",
      "Bot Detection",
      "Twitter",
      "Machine Learning",
      "Cybersecurity",
      "Graph Neural Networks"
    ],
    "dataset": {
      "name": "MGTAB",
      "purpose": "Annotated Twitter account benchmark",
      "size": 10199
    }
  },
  "institutions": [
    {
      "name": "San Jose State University",
      "country": "United States"
    },
    {
      "name": "Czech Technical University in Prague",
      "country": "Czech Republic"
    }
  ]
}