Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria

Benchmark Model Rank Results
adversarial-defense-on-cifar-100resnet18#3autoattack: 60.10/35.05
adversarial-attack-on-cifar-10TRADES-ANCRA/ResNet18#5Attack: AutoAttack: 59.70
adversarial-robustness-on-cifar-10TRADES-ANCRA/ResNet18#5Accuracy: 81.70Attack: AutoAttack: 59.70
adversarial-defense-on-cifar-10ResNet18 (TRADES-ANCRA/PGD-40)#6Accuracy: 81.70Attack: AutoAttack: 59.70Robust Accuracy: 82.96