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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Veröffentlicht in:	Expert systems with applications Jg. 254; S. 124278
Hauptverfasser:	Aggarwal, Sajal, Vishwakarma, Dinesh Kumar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.11.2024
Schlagworte:	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
Online-Zugang:	Volltext
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