Adversarial Robustness on MNIST AA
85.04DARHEM-
Evaluation Results
| Method | Links | |
|---|---|---|
| HEM-Backbone=ConvNet2025.01 | 85.04 | |
| LNBackbone=ConvNet2025.01 | 82.49 | |
| HEM-Backbone=LeNet2025.01 | 75.66 | |
| LNBackbone=LeNet2025.01 | 72.33 | |
| DICEBackbone=LeNet2025.01 | 53.61 | |
| HEM-Backbone=MLP2025.01 | 42.85 | |
| MMBackbone=LeNet2025.01 | 41.14 | |
| CEBackbone=LeNet2025.01 | 40.04 | |
| DICEBackbone=ConvNet2025.01 | 37.6 | |
| LNBackbone=MLP2025.01 | 32.57 | |
| MMBackbone=ConvNet2025.01 | 30.45 | |
| CEBackbone=ConvNet2025.01 | 30.02 | |
| DICEBackbone=MLP2025.01 | 24.8 | |
| MMBackbone=MLP2025.01 | 12.33 | |
| CEBackbone=MLP2025.01 | 12.24 |