thunlp/
Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP".
by THUNLP Python MIT licence 10 forks Created Oct 2022 View on GitHub
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