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Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks
We propose a framework to guarantee the certifiable robustness of language model against multiple practical attacks in NLP.
Xinyu Zhang, Hanbin Hong, Yuan Hong, Peng Huang, Binghui Wang, Zhongjie Ba, Kui Ren
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