Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score

Shuhai Zhang, Feng Liu, Jiahao Yang, Yifan Yang, Changsheng Li, Bo Han 0003, Mingkui Tan. Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 41429-41451, PMLR, 2023. [doi]

@inproceedings{ZhangLYYL0T23,
  title = {Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score},
  author = {Shuhai Zhang and Feng Liu and Jiahao Yang and Yifan Yang and Changsheng Li and Bo Han 0003 and Mingkui Tan},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/zhang23ac.html},
  researchr = {https://researchr.org/publication/ZhangLYYL0T23},
  cites = {0},
  citedby = {0},
  pages = {41429-41451},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}