Image Classification on Tiny-ImageNet (Adversarial Robustness Metrics)
8.96FGSM Error (eps=8/255)ResNet18
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ResNet182025.09 | 8.96 | 6.83 | 12.41 | 12.01 | 26.05 | 15.29 | 9.55 | 9.15 | 2.54 | 1.01 | 10.38 | |
| Neural ODE2025.09 | 9.36 | 7.22 | 11.87 | 11.36 | 26.08 | 15.3 | 9.96 | 9.21 | 2.67 | 1.08 | 10.41 | |
| Proj-NODE2025.09 | 9.93 | 8.21 | 13.01 | 12.51 | 26.15 | 15.54 | 11.36 | 10.84 | 2.86 | 1.12 | 11.15 | |
| SODEF2025.09 | 10.08 | 8.38 | 13.21 | 12.64 | 26.77 | 15.66 | 10.92 | 10.15 | 2.5 | 1.04 | 11.13 | |
| LyaNet2025.09 | 11.23 | 10.94 | 12.94 | 12.52 | 32.96 | 25.88 | 10.26 | 9.75 | 4.45 | 2.85 | 13.38 | |
| FxTS-Net2025.09 | 11.79 | 11.08 | 13.13 | 12.83 | 33.08 | 26.98 | 11.1 | 10.57 | 4.76 | 3.28 | 13.86 | |
| Zubov-Net2025.09 | 12.13 | 11.24 | 13.52 | 13.04 | 30.36 | 23.55 | 11.97 | 11.38 | 7.22 | 4.68 | 13.91 |