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Talk:Adversarial stylometry

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Unused sources

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FUTON, looked at, could potentially be useful (e.g., if exhaustively reviewing all proposed methods)

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  • Mihaylova, Tsvetomila; Karadjov, Georgi; Kiprov, Yasen; Georgiev, Georgi; Koychev, Ivan; Nakov, Preslav (2016). "SU@PAN'2016: Author Obfuscation—Notebook for PAN at CLEF 2016" (PDF). CLEF 2016 Evaluation Labs and Workshop – Working Notes Papers.
    I think this is superseded by the authors' other paper below.
  • Le, Hoi; Safavi-Naini, Reihaneh; Galib, Asadullah (2015). "Secure Obfuscation of Authoring Style". Information Security Theory and Practice. Lecture Notes in Computer Science. Vol. 9311. pp. 88–103. doi:10.1007/978-3-319-24018-3_6. ISBN 978-3-319-24017-6. S2CID 19355829.
    Report & evaluation of a single method.
  • Emmery, Chris; Manjavacas, Enrique; Chrupała, Grzegorz (2018). Style Obfuscation by Invariance. Proceedings of the 27th International Conference on Computational Linguistics. arXiv:1805.07143.
    Report & evaluation of a single method.
  • Karadjov, Georgi; Mihaylova, Tsvetomila; Kiprov, Yasen; Georgiev, Georgi; Koychev, Ivan; Nakov, Preslav (2017). "The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation". Experimental IR Meets Multilinguality, Multimodality, and Interaction. Lecture Notes in Computer Science. Vol. 10456. pp. 173–185. arXiv:1707.03736. doi:10.1007/978-3-319-65813-1_18. ISBN 978-3-319-65812-4. S2CID 6456195.
    Report & evaluation of a single method.
  • Oele, Martijn (July 2018). Author Obfuscation by Automatically Rewriting Texts (Thesis).
    Report & evaluation of a single method.
  • de Zoeten, Rémi (2015). Computational Stylometry in Adversarial Settings (Thesis).
    Literature review with some code; review is done better elsewhere.
  • Fernandes, Natasha; Dras, Mark; McIver, Annabelle (2018). "Author Obfuscation Using Generalised Differential Privacy". arXiv:1805.08866. {{cite journal}}: Cite journal requires |journal= (help)
    Mathematical theorising. Interesting but not worth putting in.
  • Hupperich, Thomas (23 August 2017). On the feasibility and impact of digital fingerprinting for system recognition (Thesis).
    Looks at existing methods, nothing really interesting, groundbreaking or unique enough to go in.
  • Stolerman, Ariel; Overdorf, Rebekah; Afroz, Sadia; Greenstadt, Rachel (2014). "Breaking the Closed-World Assumption in Stylometric Authorship Attribution". Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Lecture Notes in Computer Science. Vol. 8827. pp. 185–205. doi:10.1007/978-3-662-44952-3_13. ISBN 978-3-319-12567-1.
    Tangential; doesn't bring much to bear on the specific question of adversarial stylometry specifically.
  • Bo, Haohan; Ding, Steven H. H.; Fung, Benjamin C. M.; Iqbal, Farkhund (2019). "ER-AE: Differentially Private Text Generation for Authorship Anonymization". Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. pp. 3997–4007. arXiv:1907.08736. doi:10.18653/v1/2021.naacl-main.314.
    Introduces & evaluates a single new method.

Non-FUTON, not even looked at

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