Classification on FashionMNIST linf, epsilon=0.3 (test)
96.34Robust Accuracy (FGSM)FGSM-AT
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| FGSM-AT2021.05 | 96.34 | 0 | 0.02 | 0 | |
| Dense Orthogonal Classifieralpha=12021.05 | 88.44 | 34.14 | 0 | 0 | |
| PGD-AT2021.05 | 70.55 | 61.97 | 64.04 | 45.99 | |
| Dense Orthogonal Classifieralpha=0.32021.05 | 69.71 | 62.2 | 63.28 | 48.35 | |
| ALP2021.05 | 68.21 | 61.4 | 56.35 | 24.25 | |
| TRADES1/lambda=12021.05 | 67.89 | 58.07 | 56.13 | 29.61 | |
| TRADES1/lambda=62021.05 | 62.49 | 56.36 | 54.91 | 34.22 | |
| Standard Training2021.05 | 2.12 | 0 | 0 | 0 |