Image Classification on Pets PGD-l2 attack, ε=0.5 (test)
82.54Robust AccuracyCore-tuning
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Core-tuningBackbone=ResNet-50, Pre-training=MoCo-v2, Attack Type=PGD-10, Perturbation Norm=l2, Epsilon=0.52021.02 | 82.54 | 89.22 | |
| AT-CE-ConBackbone=ResNet-50, Pre-training=MoCo-v2, Attack Type=PGD-10, Perturbation Norm=l2, Epsilon=0.52021.02 | 79.53 | 87.01 | |
| AT-CEBackbone=ResNet-50, Pre-training=MoCo-v2, Attack Type=PGD-10, Perturbation Norm=l2, Epsilon=0.52021.02 | 78.67 | 86.25 | |
| CEBackbone=ResNet-50, Pre-training=MoCo-v2, Attack Type=PGD-10, Perturbation Norm=l2, Epsilon=0.52021.02 | 30.94 | 89.05 |