Backdoor Defense on Tiny-ImageNet BadNet (test)
73.88Clean AccuracyClean
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CleanMode=O-Robustness, Backbone=ResNet-18, Poisoning Rate=5%2024.10 | 73.88 | 0.08 | |
| CleanMode=P-Robustness, Backbone=ResNet-18, Poisoning Rate=5%2024.10 | 72.99 | 0.76 | |
| AttackMode=O-Backdoor, Backbone=ResNet-18, Poisoning Rate=5%2024.10 | 72.6 | 99.01 | |
| EPMode=O-Robustness, Backbone=ResNet-18, Poisoning Rate=5%2024.10 | 70.9 | 0.02 | |
| SAMMode=P-Robustness, Backbone=ResNet-18, Poisoning Rate=5%2024.10 | 70.9 | 84.64 | |
| SAMMode=O-Robustness, Backbone=ResNet-18, Poisoning Rate=5%2024.10 | 70.65 | 5.92 | |
| EPMode=P-Robustness, Backbone=ResNet-18, Poisoning Rate=5%2024.10 | 70.59 | 0.65 | |
| PAMMode=P-Robustness, Backbone=ResNet-18, Poisoning Rate=5%2024.10 | 68.97 | 7.81 | |
| BTIMode=P-Robustness, Backbone=ResNet-18, Poisoning Rate=5%2024.10 | 68.91 | 68.29 | |
| PAMMode=O-Robustness, Backbone=ResNet-18, Poisoning Rate=5%2024.10 | 68.78 | 0.06 | |
| BTIMode=O-Robustness, Backbone=ResNet-18, Poisoning Rate=5%2024.10 | 68.43 | 0.06 | |
| FSTMode=O-Robustness, Backbone=ResNet-18, Poisoning Rate=5%2024.10 | 65.36 | 0.63 | |
| FSTMode=P-Robustness, Backbone=ResNet-18, Poisoning Rate=5%2024.10 | 65.3 | 93.49 |