Image Classification on CIFAR-100 (test) (Adversarial Robustness Metrics)
59.57Clean AccuracySAAD-C
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| SAAD-CStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.12 | 59.57 | 36.05 | 32.52 | 28.72 | 27.21 | |
| SAADStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.12 | 59.11 | 36.01 | 32.71 | 29.36 | 27.58 | |
| AdaADStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.12 | 58.57 | 31.72 | 28 | 24.4 | 23.15 | |
| AKDStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.12 | 58.22 | 29.14 | 24.35 | 21.8 | 20.61 | |
| ARDStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.12 | 58.13 | 29.71 | 24.97 | 22.22 | 20.84 | |
| IADStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.12 | 57.59 | 29.85 | 25.21 | 22.41 | 21 | |
| RSLADStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.12 | 56.68 | 30.87 | 27.27 | 23.91 | 22.66 | |
| IGDMStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.12 | 56.36 | 32.95 | 29.68 | 25.91 | 24.81 | |
| PGD-ATStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.12 | 56.17 | 24.74 | 19.65 | 19.79 | 18.66 | |
| TRADESStudent Model=ResNet-18, Teacher Model=WRN-70-16 (Wang2023Better)2025.12 | 53.37 | 28.72 | 25.12 | 23.11 | 22.32 |