Image Classification on CIFAR-10 (Surrogate Model Accuracy Evaluation)
98.63Accuracy (Surrogate Model)No-Shield
Evaluation results
| Method | Links | |
|---|---|---|
| No-ShieldBackbone=ViT-Base2026.03 | 98.63 | |
| MagnitudeBackbone=ViT-Base2026.03 | 98.44 | |
| SerdabBackbone=ViT-Base2026.03 | 97.95 | |
| DarkneTZBackbone=ViT-Base2026.03 | 97.56 | |
| No-ShieldBackbone=ResNet-182026.03 | 95.44 | |
| TEESliceBackbone=ViT-Base2026.03 | 93.98 | |
| No-ShieldBackbone=VGG16-BN2026.03 | 93.7 | |
| Black-boxBackbone=ViT-Base2026.03 | 93.27 | |
| DarkneTZBackbone=VGG16-BN2026.03 | 93.07 | |
| SerdabBackbone=VGG16-BN2026.03 | 91.49 | |
| SerdabBackbone=ResNet-182026.03 | 90.86 | |
| MagnitudeBackbone=VGG16-BN2026.03 | 90.51 | |
| DarkneTZBackbone=ResNet-182026.03 | 89.93 | |
| MagnitudeBackbone=ResNet-182026.03 | 83.01 | |
| TEESliceBackbone=VGG16-BN2026.03 | 67.76 | |
| Black-boxBackbone=VGG16-BN2026.03 | 67.37 | |
| TEESliceBackbone=ResNet-182026.03 | 57.92 | |
| Black-boxBackbone=ResNet-182026.03 | 57.56 | |
| TB-NetBackbone=ResNet-182026.03 | 40.18 | |
| GroupCoverBackbone=ResNet-182026.03 | 34.44 | |
| TB-NetBackbone=VGG16-BN2026.03 | 31.66 | |
| GroupCoverBackbone=VGG16-BN2026.03 | 25.91 | |
| SPOILERBackbone=VGG16-BN2026.03 | 14.21 | |
| SPOILERBackbone=ResNet-182026.03 | 12.36 | |
| GroupCoverBackbone=ViT-Base2026.03 | 10 | |
| SPOILERBackbone=ViT-Base2026.03 | 10 |