Adversarial Robustness Across Representation Spaces

no code implementations • CVPR 2021 • Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan

In this work we extend the above setting to consider the problem of training of deep neural networks that can be made simultaneously robust to perturbations applied in multiple natural representation spaces.

Adversarial Robustness Image Classification