2018
Geometric Robustness of Deep Networks: Analysis and Improvement
CVPR 2018poster
Deep convolutional neural networks have been shown to be vulnerable to arbitrary geometric transformations. However, there is no systematic method to measure the invariance properties of deep networks to such transformations. We propose ManiFool as a simple yet scalable algorithm to measure the inva…