DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization

Songyang Gao, Shihan Dou, Yan Liu, Xiao Wang, Qi Zhang, Zhongyu Wei, Jin Ma, Ying Shan. DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023. pages 12177-12189, Association for Computational Linguistics, 2023. [doi]

@inproceedings{GaoDLWZWMS23,
  title = {DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization},
  author = {Songyang Gao and Shihan Dou and Yan Liu and Xiao Wang and Qi Zhang and Zhongyu Wei and Jin Ma and Ying Shan},
  year = {2023},
  url = {https://aclanthology.org/2023.acl-long.680},
  researchr = {https://researchr.org/publication/GaoDLWZWMS23},
  cites = {0},
  citedby = {0},
  pages = {12177-12189},
  booktitle = {Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-72-2},
}