Image Classification on Pets PGD-l∞ attack, ε=4/255 (test)
67.98Robust AccuracyCore-tuning
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Core-tuningBackbone=ResNet-50, Pre-training=MoCo-v2, Attack Type=PGD-10, Perturbation Norm=l∞, Epsilon=4/2552021.02 | 67.98 | 87.2 | |
| AT-CE-ConBackbone=ResNet-50, Pre-training=MoCo-v2, Attack Type=PGD-10, Perturbation Norm=l∞, Epsilon=4/2552021.02 | 65.6 | 86.85 | |
| AT-CEBackbone=ResNet-50, Pre-training=MoCo-v2, Attack Type=PGD-10, Perturbation Norm=l∞, Epsilon=4/2552021.02 | 63.59 | 84.21 | |
| CEBackbone=ResNet-50, Pre-training=MoCo-v2, Attack Type=PGD-10, Perturbation Norm=l∞, Epsilon=4/2552021.02 | 4.63 | 89.05 |