Backdoor Defense on CIFAR-10 IAB-one attack 10% (train)
93.89AccuracyBefore
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| BeforeBackbone=ResNet-182021.10 | 93.89 | 98.49 | |
| ANPBackbone=ResNet-182021.10 | 93.4 | 1.32 | |
| MCRBackbone=ResNet-18, Hyperparameter=0.32021.10 | 87.01 | 15.23 | |
| Fine-pruning (FP)Backbone=ResNet-182021.10 | 85.64 | 1.97 | |
| Fine-tuning (FT)Backbone=ResNet-18, Hyperparameter=0.012021.10 | 85.59 | 4.74 | |
| Fine-tuning (FT)Backbone=ResNet-18, Hyperparameter=0.022021.10 | 83.75 | 2.67 |