Image Classification on CIFAR-100 (Adversarial Robustness via FGSM/PGD)
73.85Clean AccuracyDLIF
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| DLIFModel=WRN-16, Train=BPTT2026.02 | 73.85 | 8.08 | — | 0 | 0 | 0 | 0 | |
| VanillaModel=WRN-16, Train=BPTT2026.02 | 73.46 | 6.36 | 11.15 | 0.01 | 0 | 0 | 0 | |
| VanillaModel=VGG-11, Train=BPTT2026.02 | 71.42 | 5.92 | 24.95 | 0.18 | 0.07 | 0.04 | 0.02 | |
| DLIFModel=VGG-11, Train=BPTT2026.02 | 70.79 | 6.95 | — | 0.08 | 0.05 | 0 | 0 | |
| StoGModel=VGG-11, Train=BPTT2026.02 | 70.44 | 8.27 | — | 0.49 | — | — | — | |
| TGOModel=VGG-11, Train=BPTT2026.02 | 69.47 | 17.2 | 38.23 | 2.3 | 1.33 | 0.69 | 0.42 | |
| SRModel=WRN-16, Train=BPTT2026.02 | 69.15 | 9.84 | 34.43 | 1.22 | 0.86 | 0.52 | 0.3 | |
| TGOModel=WRN-16, Train=BPTT2026.02 | 69.04 | 23.9 | 41.17 | 3.26 | 1.84 | 0.67 | 0.35 | |
| ATModel=WRN-16, Train=AT2026.02 | 68.57 | 21.18 | 46.6 | 11.14 | 9.22 | 7.5 | 6.72 | |
| RATModel=VGG-11, Train=RAT2026.02 | 67.76 | 20.87 | 46.21 | 11.14 | 9.34 | 7.66 | 6.9 | |
| RATModel=WRN-16, Train=RAT2026.02 | 67.59 | 25.07 | 48.92 | 13.6 | 11.41 | 9.07 | 8.35 | |
| DLIFModel=WRN-16, Train=RAT2026.02 | 66.57 | 33.05 | — | 18.75 | 16.23 | 12.16 | 9.44 | |
| StoGModel=VGG-11, Train=AT2026.02 | 66.37 | 23.45 | — | 14.42 | — | — | — | |
| ATModel=VGG-11, Train=AT2026.02 | 66.27 | 17.2 | 45.13 | 8.3 | 9.62 | 8.16 | 7.52 | |
| TGOModel=VGG-11, Train=AT2026.02 | 65.93 | 24.16 | 47.9 | 12.83 | 10.12 | 8.72 | 6.59 | |
| DLIFModel=WRN-16, Train=AT2026.02 | 65.86 | 25.9 | — | 15.2 | 14.03 | 13.37 | 13.3 | |
| TGOModel=VGG-11, Train=RAT2026.02 | 65.64 | 33.84 | 51.44 | 18.84 | 14.59 | 10.57 | 8.9 | |
| TGOModel=WRN-16, Train=AT2026.02 | 64.49 | 41.99 | 55.01 | 27.78 | 22.75 | 15.99 | 12.91 | |
| TGOModel=WRN-16, Train=RAT2026.02 | 64.22 | 40.35 | 54.53 | 25.79 | 20.93 | 14.02 | 10.77 | |
| SRModel=WRN-16, Train=AT2026.02 | 62.8 | 28.27 | 48.91 | 21.93 | 18.46 | 12.28 | 9.78 | |
| StoGModel=VGG-11, Train=RAT2026.02 | 62.26 | 33.4 | — | 23.15 | — | — | — |