Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model

Jiayi Wang, Rongzhou Bao, Zhuosheng Zhang 0001, Hai Zhao. Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model. In Smaranda Muresan, Preslav Nakov, Aline Villavicencio, editors, Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022. pages 905-915, Association for Computational Linguistics, 2022. [doi]

@inproceedings{WangB0Z22,
  title = {Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model},
  author = {Jiayi Wang and Rongzhou Bao and Zhuosheng Zhang 0001 and Hai Zhao},
  year = {2022},
  url = {https://aclanthology.org/2022.findings-acl.73},
  researchr = {https://researchr.org/publication/WangB0Z22},
  cites = {0},
  citedby = {0},
  pages = {905-915},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022},
  editor = {Smaranda Muresan and Preslav Nakov and Aline Villavicencio},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-955917-25-4},
}