arXiv · 2002.05380
CEB Improves Model Robustness
Abstract
We demonstrate that the Conditional Entropy Bottleneck (CEB) can improve model robustness. CEB is an easy strategy to implement and works in tandem with data augmentation procedures. We report results of a large scale adversarial robustness study on CIFAR-10, as well as the ImageNet-C Common Corruptions Benchmark, ImageNet-A, and PGD attacks.
Explore related subjects
Keep this discovery
Ian Fischer, Alexander A. Alemi. 2020-02-13. CEB Improves Model Robustness. https://doi.org/10.3390/e22101081
Cite the original work for its findings. Save a collection to share your selection of sources.