Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective

Philipp Benz, Chaoning Zhang, In-So Kweon. Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective. In 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021. pages 7798-7807, IEEE, 2021. [doi]

@inproceedings{BenzZK21,
  title = {Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective},
  author = {Philipp Benz and Chaoning Zhang and In-So Kweon},
  year = {2021},
  doi = {10.1109/ICCV48922.2021.00772},
  url = {https://doi.org/10.1109/ICCV48922.2021.00772},
  researchr = {https://researchr.org/publication/BenzZK21},
  cites = {0},
  citedby = {0},
  pages = {7798-7807},
  booktitle = {2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-2812-5},
}