The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality

Laurent Amsaleg, James Bailey, Dominique Barbe, Sarah M. Erfani, Michael E. Houle, Vinh Nguyen, Milos Radovanovic. The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality. In 2017 IEEE Workshop on Information Forensics and Security, WIFS 2017, Rennes, France, December 4-7, 2017. pages 1-6, IEEE, 2017. [doi]

@inproceedings{AmsalegBBEHNR17,
  title = {The vulnerability of learning to adversarial perturbation increases with intrinsic dimensionality},
  author = {Laurent Amsaleg and James Bailey and Dominique Barbe and Sarah M. Erfani and Michael E. Houle and Vinh Nguyen and Milos Radovanovic},
  year = {2017},
  doi = {10.1109/WIFS.2017.8267651},
  url = {https://doi.org/10.1109/WIFS.2017.8267651},
  researchr = {https://researchr.org/publication/AmsalegBBEHNR17},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {2017 IEEE Workshop on Information Forensics and Security, WIFS 2017, Rennes, France, December 4-7, 2017},
  publisher = {IEEE},
  isbn = {978-1-5090-6769-5},
}