Image Classification on CIFAR-10 (test) (AA, RayS, Square, SPSA Metrics)
50.35AASAAD
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| SAADBackbone=ResNet-18, Teacher=Gowal2021Improving2025.12 | 50.35 | 55.47 | 58.61 | 60 | |
| SAAD-CBackbone=ResNet-18, Teacher=Gowal2021Improving2025.12 | 49.72 | 55.57 | 58.96 | 60.19 | |
| IGDMBackbone=ResNet-18, Teacher=Gowal2021Improving2025.12 | 44.76 | 49.67 | 52.01 | 53.83 | |
| AdaADBackbone=ResNet-18, Teacher=Gowal2021Improving2025.12 | 43.27 | 48.68 | 52.08 | 53.44 | |
| AKDBackbone=ResNet-18, Teacher=Gowal2021Improving2025.12 | 40.95 | 46.82 | 49.68 | 50.95 | |
| ARDBackbone=ResNet-18, Teacher=Gowal2021Improving2025.12 | 40.79 | 46.42 | 49.57 | 51.26 | |
| IADBackbone=ResNet-18, Teacher=Gowal2021Improving2025.12 | 40.7 | 46.49 | 49.5 | 51.28 | |
| RSLADBackbone=ResNet-18, Teacher=Gowal2021Improving2025.12 | 40.57 | 48.21 | 50.89 | 52.93 |