Image Classification on CIFAR-10 (Nominal Accuracy)
95.7AccuracyVanilla
Evaluation results
| Method | Links | |
|---|---|---|
| VanillaBackbone=ResNet2026.02 | 95.7 | |
| VanillaBackbone=GoogLeNet2026.02 | 94.9 | |
| CREDITBackbone=ResNet2026.02 | 94.67 | |
| CREDITBackbone=GoogLeNet2026.02 | 94.67 | |
| EWEBackbone=GoogLeNet2026.02 | 93.58 | |
| VanillaBackbone=DenseNet2026.02 | 93.33 | |
| IPGuardBackbone=GoogLeNet2026.02 | 92.98 | |
| CREDITBackbone=DenseNet2026.02 | 92.58 | |
| VanillaBackbone=VGG2026.02 | 92.18 | |
| UAPBackbone=GoogLeNet2026.02 | 91.84 | |
| CREDITBackbone=VGG2026.02 | 91.68 | |
| IPGuardBackbone=ResNet2026.02 | 91.08 | |
| EWEBackbone=ResNet2026.02 | 90.25 | |
| IPGuardBackbone=VGG2026.02 | 89.8 | |
| IPGuardBackbone=DenseNet2026.02 | 89.41 | |
| BackdooringBackbone=GoogLeNet2026.02 | 89.31 | |
| EWEBackbone=VGG2026.02 | 88.82 | |
| EWEBackbone=DenseNet2026.02 | 86.22 | |
| UAPBackbone=ResNet2026.02 | 84.73 | |
| UAPBackbone=VGG2026.02 | 82.91 | |
| BackdooringBackbone=ResNet2026.02 | 78.1 | |
| BackdooringBackbone=VGG2026.02 | 77.6 | |
| UAPBackbone=DenseNet2026.02 | 74.82 | |
| BackdooringBackbone=DenseNet2026.02 | 60.45 |