Exposing the Achilles’ heel of textual hate speech classifiers using indistinguishable adversarial examples

The accessibility of online hate speech has increased significantly, making it crucial for social-media companies to prioritize efforts to curb its spread. Although deep learning models demonstrate vulnerability to adversarial attacks, whether models fine-tuned for hate speech detection exhibit simi...

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Vydané v:	Expert systems with applications Ročník 254; s. 124278
Hlavní autori:	Aggarwal, Sajal, Vishwakarma, Dinesh Kumar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.11.2024
Predmet:	Adversarial attack Glyphs Hate speech Natural Language Processing (NLP) Offensive language Transformers Transformers Adversarial attack Glyphs Hate speech Offensive language Natural Language Processing (NLP)
ISSN:	0957-4174
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