Image Classification on CIFAR-10 REM (test)
86.21AccuracyNonlinear transformation framework
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Nonlinear transformation frameworkBackbone=VGG19, Pre-trained=True (ImageNet)2024.06 | 86.21 | 51.43 | 147.87 | |
| Adversarial trainingBackbone=VGG19, Pre-trained=True (ImageNet), Defense Method=PGD2024.06 | 49.51 | — | — | |
| OPABackbone=VGG19, Pre-trained=True (ImageNet)2024.06 | 34.78 | — | — | |
| No defenseBackbone=VGG19, Pre-trained=True (ImageNet)2024.06 | 27 | — | — |