Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker

Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Heather Zheng, Ben Zhao, Prateek Mittal. Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{DaiDBCZZM23,
  title = {Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker},
  author = {Sihui Dai and Wenxin Ding and Arjun Nitin Bhagoji and Daniel Cullina and Heather Zheng and Ben Zhao and Prateek Mittal},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/9b867f0e56c4c085ef1cfdad691db5f6-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/DaiDBCZZM23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}