WeDef: Weakly Supervised Backdoor Defense for Text Classification - researchr publication authors

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LeSheng Jin, Zihan Wang 0001, Jingbo Shang. WeDef: Weakly Supervised Backdoor Defense for Text Classification. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11. pages 11614-11626, Association for Computational Linguistics, 2022. [doi]

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