Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks

Lei Wu, Zhanxing Zhu. Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks. In Sinno Jialin Pan, Masashi Sugiyama, editors, Proceedings of The 12th Asian Conference on Machine Learning, ACML 2012, 18-20 November 2020, Bangkok, Thailand. Volume 129 of Proceedings of Machine Learning Research, pages 837-850, PMLR, 2020. [doi]

@inproceedings{WuZ20-31,
  title = {Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks},
  author = {Lei Wu and Zhanxing Zhu},
  year = {2020},
  url = {http://proceedings.mlr.press/v129/wu20a.html},
  researchr = {https://researchr.org/publication/WuZ20-31},
  cites = {0},
  citedby = {0},
  pages = {837-850},
  booktitle = {Proceedings of The 12th Asian Conference on Machine Learning, ACML 2012, 18-20 November 2020, Bangkok, Thailand},
  editor = {Sinno Jialin Pan and Masashi Sugiyama},
  volume = {129},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}