Image Classification on CIFAR-10 (BA and ASR Evaluation)
94.73BAUndefended
Evaluation results
| Method | Links | ||
|---|---|---|---|
| UndefendedBackbone=ResNet182022.02 | 94.73 | 83.42 | |
| NONEBackbone=ResNet182022.02 | 94.01 | 2.14 | |
| UndefendedBackbone=NiN2022.02 | 91.32 | 98.98 | |
| UndefendedBackbone=VGG162022.02 | 90.97 | 98.41 | |
| NADBackbone=ResNet182022.02 | 90.74 | 60.74 | |
| ABLBackbone=VGG162022.02 | 90.38 | 94.94 | |
| NONEBackbone=NiN2022.02 | 90.11 | 2.19 | |
| NONEBackbone=VGG162022.02 | 90.07 | 4.26 | |
| ABLBackbone=NiN2022.02 | 89.95 | 95.28 | |
| NADBackbone=VGG162022.02 | 88.88 | 92.71 | |
| ACBackbone=VGG162022.02 | 88.46 | 7.57 | |
| ACBackbone=ResNet182022.02 | 88 | 65.86 | |
| ABLBackbone=ResNet182022.02 | 87.34 | 2.17 | |
| ACBackbone=NiN2022.02 | 83.92 | 95.96 | |
| NADBackbone=NiN2022.02 | 82.35 | 65.63 | |
| DP-SGDBackbone=ResNet182022.02 | 54 | 11 | |
| DP-SGDBackbone=VGG162022.02 | 53.76 | 9.24 | |
| DP-SGDBackbone=NiN2022.02 | 38.83 | 5.21 |