Image Classification on STL10 (Clean, PGD, CW, Auto Attack Robustness)
97.03Clean AccuracyCLIP
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| CLIP2025.12 | 97.03 | 23.64 | 26.01 | 3.18 | |
| FAREFine-tuning dataset=TinyImageNet, Adversarial training=2-step PGD, Epsilon=1/2552025.12 | 94.24 | 48.18 | 43.35 | 10.18 | |
| UCATFine-tuning dataset=TinyImageNet, Adversarial training=2-step PGD, Epsilon=1/2552025.12 | 91.88 | 73.83 | 73.55 | 73.15 | |
| TGA-ZSRFine-tuning dataset=TinyImageNet, Adversarial training=2-step PGD, Epsilon=1/2552025.12 | 90.65 | 72.18 | 71.99 | 71.55 | |
| PMG-AFTFine-tuning dataset=TinyImageNet, Adversarial training=2-step PGD, Epsilon=1/2552025.12 | 90.41 | 72.63 | 65.69 | 65.45 | |
| TeCoAFine-tuning dataset=TinyImageNet, Adversarial training=2-step PGD, Epsilon=1/2552025.12 | 85.89 | 69.78 | 69.55 | 69.31 |