Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training

Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao. Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. 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{WangSLDZZDG23,
  title = {Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training},
  author = {Zhenyi Wang and Li Shen and Tongliang Liu and Tiehang Duan and Yanjun Zhu and Donglin Zhan and David S. Doermann and Mingchen Gao},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/0207c9ea9faf66c6e892c3fa3c167b75-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/WangSLDZZDG23},
  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},
}