Image Classification on CIFAR-10 Autoregressive (test)
85.66Test AccuracyNonlinear transformation framework
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Nonlinear transformation frameworkBackbone=VGG19, Pre-trained=True (ImageNet)2024.06 | 85.66 | 60.07 | 234.74 | |
| Adversarial trainingBackbone=VGG19, Pre-trained=True (ImageNet), Defense Method=PGD2024.06 | 80.54 | — | — | |
| OPABackbone=VGG19, Pre-trained=True (ImageNet)2024.06 | 25.59 | — | — | |
| No defenseBackbone=VGG19, Pre-trained=True (ImageNet)2024.06 | 11 | — | — |