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A Generative Adversarial Attack for Multilingual Text Classifiers
Current adversarial attack algorithms, where an adversary changes a text to fool a victim model, have been repeatedly shown to be effective against text classifiers.
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
Many adversarial attacks target natural language processing systems, most of which succeed through modifying the individual tokens of a document.
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