Image Classification on SVHN (test) (PGD20, PGD40, AA Robustness)
97.75Accuracy (Clean)TRADES(S)
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| TRADES(S)Backbone=WRN-28-10 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 97.75 | 74.98 | 69.1 | 15.77 | |
| TRADESBackbone=WRN-28-10 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 97.69 | 59.57 | 54.75 | 15.17 | |
| TRADES+LOREBackbone=WRN-28-10 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 97.66 | 43.44 | 37.51 | 10.79 | |
| TRADES+LOREBackbone=PreResNet18 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 97.39 | 55.65 | 47.33 | 9.64 | |
| TRADES(S)+LOREBackbone=WRN-28-10 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 97.36 | 57.71 | 50.58 | 16.36 | |
| TRADES(S)+SLOREBackbone=WRN-28-10 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 97.31 | 70.17 | 65.19 | 11.27 | |
| MARTBackbone=WRN-28-10 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 97.23 | 52.34 | 49.89 | 22.89 | |
| TRADES(S)+SLOREBackbone=PreResNet18 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 97.01 | 77.73 | 73.38 | 43.48 | |
| TRADESBackbone=PreResNet18 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 96.57 | 56.74 | 53.84 | 36.21 | |
| TRADES(S)+LOREBackbone=PreResNet18 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 96.44 | 65.25 | 61.82 | 37.65 | |
| MART+LOREBackbone=WRN-28-10 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 96.3 | 72.16 | 70.76 | 9.03 | |
| TRADES(S)Backbone=PreResNet18 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 96.2 | 69.91 | 66.64 | 41.38 | |
| TRADES+SLOREBackbone=PreResNet18 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 96.14 | 61.2 | 57.85 | 38.58 | |
| TRADES+SLOREBackbone=WRN-28-10 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 95.67 | 68.35 | 67.01 | 49.25 | |
| adv-comp-sumBackbone=WRN-34-202025.12 | 93.98 | — | 62.97 | 58.13 | |
| MART+SLOREBackbone=WRN-28-10 (Swish), Training Augmentation=1x10^6 EDM-generated images2024.03 | 93.97 | 64.22 | 63.82 | 53.26 | |
| Gowal et al. (2020)Backbone=WRN-34-202025.12 | 93.03 | — | 61.01 | 57.84 |