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Universal Adversarial Triggers for Attacking and Analyzing NLP
v1v2v3 (latest)

Universal Adversarial Triggers for Attacking and Analyzing NLP

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
20 August 2019
Eric Wallace
Shi Feng
Nikhil Kandpal
Matt Gardner
Sameer Singh
    AAMLSILM
ArXiv (abs)PDFHTML

Papers citing "Universal Adversarial Triggers for Attacking and Analyzing NLP"

50 / 663 papers shown
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164
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PETGEN: Personalized Text Generation Attack on Deep Sequence
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208
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124
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227
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