Towards a unified framework for imperceptible textual attacks
Author:
Funder
National Natural Science Foundation of China
Strategic Priority Research Program of Chinese Academy of Sciences
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05292-6.pdf
Reference43 articles.
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3. Dai J, Chen C, Li Y (2019) A backdoor attack against lstm-based text classification systems. IEEE Access 7:138872–138878. https://doi.org/10.1109/ACCESS.2019.2941376
4. Dai Y, Li L, Zhou C et al (2022) “is whole word masking always better for Chinese BERT?”: Probing on Chinese grammatical error correction. In: Findings of the Association for Computational Linguistics: ACL 2022. Association for Computational Linguistics, Dublin, Ireland, pp 1–8. https://doi.org/10.18653/v1/2022.findings-acl.1. https://aclanthology.org/2022.findings-acl.1
5. Devlin J, Chang MW, Lee K et al (2019) BERT: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, vol. 1 (Long and Short Papers). Association for Computational Linguistics, Minneapolis, Minnesota, pp 4171–4186. https://doi.org/10.18653/v1/N19-1423. https://aclanthology.org/N19-1423
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