Adversarial Attack on CIFAR-100 (test)
57.08Clean AccuracyTRADES
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| TRADESTraining Method=TRADES, Attack Algorithm=APGD2025.12 | 57.08 | 78.89 | 78.99 | 79.17 | 86.07 | 84.27 | 87.57 | |
| TRADESTraining Method=TRADES, Attack Algorithm=SA-PGD2025.12 | 57.08 | 79.06 | 79.39 | 78.88 | 87 | 84.15 | 89.22 | |
| RATTraining Method=RAT, Attack Algorithm=APGD2025.12 | 55.38 | 76.74 | 77.28 | 79.68 | 84.77 | 83.33 | 87.73 | |
| RATTraining Method=RAT, Attack Algorithm=SA-PGD2025.12 | 55.38 | 76.94 | 78.35 | 79.43 | 86.21 | 83.26 | 89.64 | |
| AT+SRTraining Method=AT+SR, Attack Algorithm=APGD2025.12 | 52.11 | 76.86 | 77.8 | 78.88 | 85.09 | 82.84 | 86.18 | |
| AT+SRTraining Method=AT+SR, Attack Algorithm=SA-PGD2025.12 | 52.11 | 76.9 | 78.19 | 78.37 | 85.76 | 82.73 | 87.68 | |
| ATTraining Method=Adversarial Training, Attack Algorithm=APGD2025.12 | 51.9 | 82.83 | 82.5 | 84.21 | 89.88 | 88.22 | 91.6 | |
| ATTraining Method=Adversarial Training, Attack Algorithm=SA-PGD2025.12 | 51.9 | 82.99 | 83.07 | 84 | 90.8 | 88.26 | 93.19 |