Papers by Inessa Verbitsky
Paraphrasing Attack Resilience of Various Machine-Generated Text Detection Methods (2025.naacl-srw)
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| Challenge: | Recent large-scale emergence of LLMs has left an open space for dealing with consequences, such as plagiarism or the spread of false information on the Internet. |
| Approach: | They evaluate the parsing attack resilience of three machine-generated text detection methods and their ensembles using Random Forest classifiers. |
| Outcome: | The proposed methods yield the strongest results, but suffer significant losses during attacks. |