TopVenues Cybersecurity Corpus

A reproducible bibliographic corpus for cybersecurity literature reviews: 144,785 papers (2017–2026) across 40 canonical venues, with 17,603 abstracts (concentrated on the security core and survey venues by curation policy) and a BibTeX entry for every record.

• Foundational paper: TopVenues: A Reproducible Corpus and Tooling Substrate for Cybersecurity Literature Reviews (arXiv:2606.18320). That paper reports an earlier, smaller frozen snapshot; this dataset is the expanded tool snapshot.
• Code / tool: https://github.com/sidneibarbieri/topvenues-tool
• Pinned source of truth: the gzipped SQLite snapshot shipped with the tool; this dataset is a faithful Parquet export of the same frozen state.

Usage

from datasets import load_dataset

corpus = load_dataset("sidneibarbieri/topvenues", split="train")

security = corpus.filter(lambda paper: paper["area"] == "security")

Curation policy

The corpus has two layers, and the abstract column reflects that on purpose:

1. Security core (16,806 papers): the security venues (USENIX Security, ACM CCS, IEEE S&P, NDSS, ESORICS, RAID, ACSAC, and others) are enriched with abstracts from open scholarly sources (14,239 abstracts, 84.7% coverage).
2. Bibliographic context (AI/ML/NLP, networking, mobile, and systems venues): metadata and BibTeX only, kept as a stable cross-area denominator for measurement studies.

Schema

Column	Description
paper_id	Stable identifier (DBLP-derived)
key	DBLP key
title	Paper title
authors	Author list as a single string
event	Canonical venue name (normalized)
venue	Venue string as recorded by DBLP
area	Research area (security, ai, networks, mobile, systems, cross-area)
year	Publication year
paper_type	Record type (article, proceedings, …)
pages	Page range
url / ee	DBLP URL / electronic edition (DOI or publisher link)
abstract	Abstract, where the curation policy backfills it
bibtex	DBLP-canonical BibTeX entry

Venues

Venue	Area	Papers	Abstracts
AAAI	ai	28,351	0
NeurIPS	ai	19,844	0
ICML	ai	15,228	51
EMNLP	ai	14,543	0
ICLR	ai	11,968	2
ACL	ai	11,294	0
IJCAI	ai	7,781	0
ACM CCS	security	4,329	4,090
ACM KDD	ai	4,110	0
NAACL	ai	4,107	0
USENIX Security	security	2,542	2,052
ACM Computing Surveys	cross-area	2,382	2,242
TrustCom	security	2,311	1,914
NDSS	security	1,535	1,534
IEEE S&P	security	1,420	1,164
ACM MobiCom	mobile	1,150	0
IEEE Communications Surveys & Tutorials	cross-area	1,094	804
ACM ASIA CCS	security	1,062	913
ACM SenSys	mobile	1,023	0
ACM MobiSys	mobile	835	0
USENIX NSDI	networks	775	0
ACM EuroSys	systems	741	0
USENIX ATC	systems	618	0
ESORICS	security	598	39
ACSAC	security	593	593
ACM SIGCOMM	networks	540	0
ACM SIGMETRICS	networks	522	0
IEEE CNS	security	471	381
ACM IMC	networks	466	0
RAID	security	414	346
IEEE EURO S&P	security	399	339
ACM CODASPY	security	357	281
ACM WiSec	security	353	270
HotNets	networks	295	245
ACM HotMobile	mobile	289	0
ACM SACMAT	security	199	176
IEEE SaTML	security	127	74
ACM AISec	security	77	73
Foundations and Trends in Privacy and Security	cross-area	23	20
USENIX WOOT	security	19	0

Sources and licensing

Bibliographic metadata and BibTeX come from DBLP (released CC0). Abstracts were collected from open scholarly sources (Semantic Scholar, OpenAlex, CrossRef) and publisher pages; they remain the copyright of their respective publishers and are included for research and indexing purposes. The compilation is released under ODC-BY 1.0.

Citation

@misc{barbieri2026topvenues,
  title  = {TopVenues: A Reproducible Corpus and Tooling Substrate for
            Cybersecurity Literature Reviews},
  author = {Barbieri, Sidnei and Ferraz, Agney Lopes Roth and
            Pereira J{\'u}nior, Louren{\c{c}}o Alves},
  year   = {2026},
  eprint = {2606.18320},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CR},
  url    = {https://arxiv.org/abs/2606.18320}
}