Feb. 7, 2024, 5:48 a.m. | Norah Alshahrani Saied Alshahrani Esma Wali Jeanna Matthews

cs.CL updates on arXiv.org arxiv.org

Text classification systems have been proven vulnerable to adversarial text examples, modified versions of the original text examples that are often unnoticed by human eyes, yet can force text classification models to alter their classification. Often, research works quantifying the impact of adversarial text attacks have been applied only to models trained in English. In this paper, we introduce the first word-level study of adversarial attacks in Arabic. Specifically, we use a synonym (word-level) attack using a Masked Language Modeling …

adversarial adversarial examples arabic attacks bert classification cs.cl examples human impact research systems text text classification versions vulnerable

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