RobustBench: Adversarial robustness benchmark The goal of RobustBench is to systematically track the real progress in adversarial robustness There are already more than 3'000 papers on this topic, but it is still unclear which approaches really work and which only lead to overestimated robustness
GitHub Pages ×: WideResNet-28-10: ICML 2023: 5: Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing It uses an ensemble of networks The robust base classifier uses 50M synthetic images
robustbench. github. io Rank Method Standard accuracy Robust accuracy Extra data Architecture Venue; 1: A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness Ensemble of networks each of which are pruned to 95% sparsity