Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing

Benchmark Model Rank Results
adversarial-robustness-on-cifar-10Mixed classifier#1Accuracy: 95.23Robust Accuracy: 68.06Attack: AutoAttack: 68.06