Image Classification on CIFAR-10 NTGA (test)
87.38AccuracyNonlinear transformation framework
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Nonlinear transformation frameworkBackbone=VGG19, Pre-trained=True (ImageNet)2024.06 | 87.38 | 25.84 | 41.98 | |
| Adversarial trainingBackbone=VGG19, Pre-trained=True (ImageNet), Defense Method=PGD2024.06 | 84.75 | — | — | |
| OPABackbone=VGG19, Pre-trained=True (ImageNet)2024.06 | 61.54 | — | — | |
| No defenseBackbone=VGG19, Pre-trained=True (ImageNet)2024.06 | 40 | — | — |