VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web

<pre>VeriDark (Authorship Verification in the DarkNet) is a benchmark for evaluating authorship analysis methods in a cybersecurity context, by introducing datasets gathered from the DarkNet marketplace forums or from Darknet-related discussions on Reddit. This benchmark contains three datasets for authorship verification and one dataset for authorship identification.</pre>

cs.CL Authorship Attribution and Profiling Cybercrime and Law Enforcement Studies Hate Speech and Cyberbullying Detection Computer Science Law

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References (60)

01Same Author or Just Same Topic? Towards Content-Independent Style RepresentationsAnna Wegmann, M. Schraagen, D. Nguyen2022 · Workshop on Representation Learning for NLP · 95 citations In Library

02Idiosyncratic but not Arbitrary: Learning Idiolects in Online Registers Reveals Distinctive yet Consistent Individual StylesJian Zhu, David Jurgens2021 · Conference on Empirical Methods in Natural Language Processing · 32 citations In Library

03The Impact of Adverse Events in Darknet Markets: an Anomaly Detection ApproachZiauddin Ursani, Claudia Peersman, M. Edwards et al.2021 · 2021 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) · 5 citations

04O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship VerificationBenedikt T. Boenninghoff, R. M. Nickel, D. Kolossa2021 · Conference and Labs of the Evaluation Forum · 14 citations In Library

05SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant AnalysisPranav Maneriker, Yuntian He, Srinivas Parthasarathy2021 · Conference on Empirical Methods in Natural Language Processing · 12 citations In Library

06A Light in the Dark Web: Linking Dark Web Aliases to Real Internet IdentitiesEhsan Arabnezhad, Massimo La Morgia, Alessandro Mei et al.2020 · IEEE International Conference on Distributed Computing Systems · 15 citations

07Deep Bayes Factor Scoring for Authorship VerificationBenedikt T. Boenninghoff, J. Rupp, R. M. Nickel et al.2020 · Conference and Labs of the Evaluation Forum · 28 citations In Library

08Towards Image-Based Dark Vendor Profiling: An Analysis of Image Metadata and Image Hashing in Dark Web MarketplacesSusan Jeziorowski, Muhammad Ismail, Ambareen Siraj2020 · IWSPA@CODASPY · 14 citations

09The Pushshift Reddit DatasetJason Baumgartner, Savvas Zannettou, Brian Keegan et al.2020 · International Conference on Web and Social Media · 1.1k citations In Library

10Explainable Authorship Verification in Social Media via Attention-based Similarity LearningBenedikt T. Boenninghoff, Steffen Hessler, D. Kolossa et al.2019 · 2019 IEEE International Conference on Big Data (Big Data) · 79 citations In Library

11Bias Analysis and Mitigation in the Evaluation of Authorship VerificationJanek Bevendorff, Matthias Hagen, Benno Stein et al.2019 · Annual Meeting of the Association for Computational Linguistics · 30 citations

12Generalizing Unmasking for Short TextsJanek Bevendorff, Benno Stein, Matthias Hagen et al.2019 · North American Chapter of the Association for Computational Linguistics · 63 citations

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