SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text

Hoang-Quoc Nguyen-Son, Seira Hidano, Kazuhide Fukushima, Shinsaku Kiyomoto. SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text. In Kaibao Hu, Jong-Bok Kim, Chengqing Zong, Emmanuele Chersoni, editors, Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, PACLIC 2021, Shanghai International Studies University, Shanghai, China, 5-7 November 2021. pages 11-20, Association for Computational Lingustics, 2021. [doi]

@inproceedings{Nguyen-SonHFK21,
  title = {SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text},
  author = {Hoang-Quoc Nguyen-Son and Seira Hidano and Kazuhide Fukushima and Shinsaku Kiyomoto},
  year = {2021},
  url = {https://aclanthology.org/2021.paclic-1.2},
  researchr = {https://researchr.org/publication/Nguyen-SonHFK21},
  cites = {0},
  citedby = {0},
  pages = {11-20},
  booktitle = {Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, PACLIC 2021, Shanghai International Studies University, Shanghai, China, 5-7 November 2021},
  editor = {Kaibao Hu and Jong-Bok Kim and Chengqing Zong and Emmanuele Chersoni},
  publisher = {Association for Computational Lingustics},
}