Image Classification on MNIST Origin
96.7Accuracy (Perturbation 0.01)DRAUC-Da
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| DRAUC-DaModel=ResNet202023.11 | 96.7 | 98.37 | 98.57 | 98.79 | |
| DRAUC-DaModel=SmallCNN2023.11 | 96.35 | 98.04 | 98.59 | 98.92 | |
| DRAUC-DfModel=SmallCNN2023.11 | 96.06 | 98.38 | 98.69 | 98.84 | |
| WDROModel=SmallCNN2023.11 | 95.98 | 97.62 | 98.48 | 98.4 | |
| DRAUC-DfModel=ResNet202023.11 | 95.96 | 98.21 | 98.44 | 98.8 | |
| GLOTModel=SmallCNN2023.11 | 95.78 | 97.81 | 97.76 | 98.56 | |
| CEModel=SmallCNN2023.11 | 95.54 | 97.01 | 98.09 | 98.41 | |
| AUCMLossModel=SmallCNN2023.11 | 95.52 | 98.16 | 98.04 | 98.6 | |
| ADVShiftModel=SmallCNN2023.11 | 94.06 | 97.66 | 98.09 | 98.09 | |
| AUCDROModel=SmallCNN2023.11 | 94 | 97.8 | 97.76 | 98.54 | |
| WDROModel=ResNet202023.11 | 93.87 | 97.81 | 97.66 | 98.47 | |
| CEModel=ResNet202023.11 | 91.88 | 97.49 | 97.14 | 97.88 | |
| AUCDROModel=ResNet202023.11 | 89.11 | 94.4 | 95.71 | 96.73 | |
| AUCMLossModel=ResNet202023.11 | 89.09 | 97.82 | 96.26 | 97.74 | |
| DROLTModel=SmallCNN2023.11 | 88.9 | 92.36 | 96.33 | 98.29 | |
| DROLTModel=ResNet202023.11 | 88.82 | 94.49 | 96.17 | 97.97 | |
| ADVShiftModel=ResNet202023.11 | 87.43 | 90.12 | 96.74 | 97.36 | |
| GLOTModel=ResNet202023.11 | 84.46 | 95.9 | 97.46 | 97.07 | |
| FocalLossModel=ResNet202023.11 | 70.78 | 94.45 | 95.83 | 97.28 | |
| FocalLossModel=SmallCNN2023.11 | 55.1 | 91.39 | 92.61 | 96.35 |