Image Classification on Oxfordpets (Adversarial Robustness: Clean, AutoAttack, PGD)
87.41Clean AccuracyCLIP
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| CLIPTraining Data=ImageNet-1k, Adversarial Training=2-step PGD, Epsilon=1/2552025.12 | 87.41 | 2.72 | 0.03 | |
| FARETraining Data=ImageNet-1k, Adversarial Training=2-step PGD, Epsilon=1/2552025.12 | 86.92 | 61.43 | 60.51 | |
| UCATTraining Data=ImageNet-1k, Adversarial Training=2-step PGD, Epsilon=1/2552025.12 | 86.05 | 67.59 | 66.86 | |
| TeCoATraining Data=ImageNet-1k, Adversarial Training=2-step PGD, Epsilon=1/2552025.12 | 81.58 | 62.61 | 61.76 |