Image Classification on CIFAR-100 (Surrogate Model Accuracy)
92.55Accuracy (Surrogate)No-Shield
Evaluation results
| Method | Links | |
|---|---|---|
| No-ShieldBackbone=ViT-Base2026.03 | 92.55 | |
| MagnitudeBackbone=ViT-Base2026.03 | 91.56 | |
| SerdabBackbone=ViT-Base2026.03 | 91.43 | |
| No-ShieldBackbone=ResNet-182026.03 | 79.55 | |
| DarkneTZBackbone=ViT-Base2026.03 | 76.6 | |
| SerdabBackbone=ResNet-182026.03 | 75.6 | |
| No-ShieldBackbone=VGG16-BN2026.03 | 74.32 | |
| SerdabBackbone=VGG16-BN2026.03 | 72.6 | |
| MagnitudeBackbone=ResNet-182026.03 | 70.92 | |
| MagnitudeBackbone=VGG16-BN2026.03 | 69.26 | |
| DarkneTZBackbone=VGG16-BN2026.03 | 62.54 | |
| DarkneTZBackbone=ResNet-182026.03 | 40.7 | |
| TEESliceBackbone=ViT-Base2026.03 | 32.11 | |
| Black-boxBackbone=ViT-Base2026.03 | 32.03 | |
| Black-boxBackbone=VGG16-BN2026.03 | 21.99 | |
| TEESliceBackbone=VGG16-BN2026.03 | 21.74 | |
| Black-boxBackbone=ResNet-182026.03 | 21.33 | |
| TEESliceBackbone=ResNet-182026.03 | 21.01 | |
| GroupCoverBackbone=ResNet-182026.03 | 7.3 | |
| TB-NetBackbone=VGG16-BN2026.03 | 6.82 | |
| TB-NetBackbone=ResNet-182026.03 | 6.41 | |
| GroupCoverBackbone=VGG16-BN2026.03 | 4.75 | |
| SPOILERBackbone=VGG16-BN2026.03 | 3.12 | |
| SPOILERBackbone=ResNet-182026.03 | 2.2 | |
| SPOILERBackbone=ViT-Base2026.03 | 1.41 | |
| GroupCoverBackbone=ViT-Base2026.03 | 1 |