Backdoor Defense on CIFAR-10 10% clean data (Blend attack, train)
94.82AccuracyBefore
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| BeforeBackbone=ResNet-182021.10 | 94.82 | 100 | |
| ANPBackbone=ResNet-182021.10 | 93.86 | 2.13 | |
| MCRBackbone=ResNet-18, Hyperparameter=0.32021.10 | 89.45 | 10.57 | |
| Fine-tuning (FT)Backbone=ResNet-18, Hyperparameter=0.012021.10 | 88.39 | 0.86 | |
| Fine-pruning (FP)Backbone=ResNet-182021.10 | 88.26 | 0.38 | |
| Fine-tuning (FT)Backbone=ResNet-18, Hyperparameter=0.022021.10 | 86.25 | 0.27 |