Image Classification on Food101 (Adversarial Robustness: Clean, PGD, CW, Auto Attack)
83.89Clean AccuracyCLIP
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| CLIP2025.12 | 83.89 | 0.34 | 0.51 | 0.03 | |
| FAREFine-tuning dataset=TinyImageNet, Adversarial training=2-step PGD, Epsilon=1/2552025.12 | 58.9 | 2.45 | 3.17 | 0.19 | |
| PMG-AFTFine-tuning dataset=TinyImageNet, Adversarial training=2-step PGD, Epsilon=1/2552025.12 | 56.52 | 16.88 | 11.43 | 7.34 | |
| UCATFine-tuning dataset=TinyImageNet, Adversarial training=2-step PGD, Epsilon=1/2552025.12 | 53.58 | 22.86 | 21.68 | 20.52 | |
| TGA-ZSRFine-tuning dataset=TinyImageNet, Adversarial training=2-step PGD, Epsilon=1/2552025.12 | 38.9 | 16.53 | 16.03 | 15.32 | |
| TeCoAFine-tuning dataset=TinyImageNet, Adversarial training=2-step PGD, Epsilon=1/2552025.12 | 28.23 | 13.5 | 12.46 | 12.19 |