Jason S. Lucas
Jason S. Lucas
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Authorship Obfuscation in Multilingual Machine-Generated Text Detection
This research from Penn State and KiNiT, benchmarks the effectiveness of 10 authorship obfuscation (AO) techniques against 37 machine-generated text (MGT) detection methods across 11 languages, totaling 4,070 evaluations. It reveals that all AO methods can evade detection in every language, particularly highlighting the efficacy of homoglyph attacks. This underscores the need for improved multilingual MGT detection strategies.
Dominik Macko
,
Robert Moro
,
Adaku Uchendu
,
Ivan Srba
,
Jason Lucas
,
Michiharu Yamashita
,
Nafis Irtiza Tripto
,
Dongwon Lee
,
Jakub Simko
,
Maria Bielikova
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