Takeaway 🏃

Zusammenfassung:: This paper deals with authorship obfuscation through paraphrasing character trigrams. Bevendorff et al. develop both a greedy and a heuristic obfuscation method prototype and evaluate it against common attribution techniques such as unmasking.

Motivation:: Achieve flexibility and maintain readability.

Ergebnisse:: Unmasking performance decreased by ~3-9 %. Compression performance decreased by 15 %. Path cost decrease of up to 75%. However, text is still barely readable after obfuscation, creates some nonsensical phrases.

Code: https://github.com/webis-de/acl19-heuristic-authorship-obfuscation

Keywords: authorship

📇 Index


Bevendorff, Janek, Martin Potthast, Matthias Hagen & Benno Stein. 2019. Heuristic Authorship Obfuscation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 1098–1108. Florence, Italy: Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1104.