Deep Learning Testing on MNIST
298Mean Failure CountSINVAD
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| SINVADModel=LeNet-52026.06 | 298 | 24.3 | 29 | 1.8 | 11.4 | 0.8 | — | — | |
| SINVADModel=LeNet-42026.06 | 322 | 28.5 | 32 | 2.1 | 11.8 | 0.8 | — | — | |
| SUNTestModel=LeNet-42026.06 | 1,285.1 | — | — | — | — | — | 15 | 1.1 | |
| ADAPTModel=LeNet-52026.06 | 1,544.1 | — | — | — | — | — | 24 | 0.39 | |
| SUNTestModel=LeNet-52026.06 | 1,648.3 | — | — | — | — | — | 18 | 0.86 | |
| ADAPTModel=LeNet-42026.06 | 1,818.8 | — | — | — | — | — | 21 | 0.52 | |
| MimicryModel=LeNet-52026.06 | 2,314 | 88.6 | 99 | 0.3 | 39.4 | 1.2 | — | — | |
| BAYESWARP-CModel=LeNet-42026.06 | 2,362 | — | — | — | — | — | 38 | 0.43 | |
| MimicryModel=LeNet-42026.06 | 2,451 | 92.4 | 99 | 0.4 | 38.3 | 1.4 | — | — | |
| BAYESWARP-CModel=LeNet-52026.06 | 2,552.1 | — | — | — | — | — | 34 | 0.39 | |
| BAYESWARP-IModel=LeNet-42026.06 | 2,624.5 | — | — | — | — | — | 36 | 0.39 | |
| LATTEModel=LeNet-52026.06 | 2,875 | 118.6 | 100 | 0 | 8.4 | 0.4 | — | — | |
| LATTEModel=LeNet-42026.06 | 2,982 | 124.2 | 100 | 0 | 8.7 | 0.5 | — | — | |
| BAYESWARP-SModel=LeNet-42026.06 | 3,190.4 | — | — | — | — | — | 47 | 0.29 | |
| BAYESWARP-IModel=LeNet-52026.06 | 3,656 | — | — | — | — | — | 33 | 0.27 | |
| BAYESWARP-SModel=LeNet-52026.06 | 3,828.9 | — | — | — | — | — | 49 | 0.25 |