Backdoor Defense Efficiency on CIFAR-10
55.16Total Time (s)NPD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| NPDBatch size=256, Backbone=PreAct-ResNet18, Hardware=RTX 4090Ti GPU, Number of images=2500, Training epochs=502023.06 | 55.16 | — | |
| i-BAUBatch size=256, Backbone=PreAct-ResNet18, Hardware=RTX 4090Ti GPU, Number of images=2500, Training epochs=52023.06 | 57.23 | — | |
| ANPBatch size=256, Backbone=PreAct-ResNet18, Hardware=RTX 4090Ti GPU, Number of images=25002023.06 | 58.75 | — | |
| NADBatch size=256, Backbone=PreAct-ResNet18, Hardware=RTX 4090Ti GPU, Number of images=25002023.06 | 74.39 | — | |
| EPBatch size=256, Backbone=PreAct-ResNet18, Hardware=RTX 4090Ti GPU, Number of images=25002023.06 | 131.84 | — | |
| NCBatch size=256, Backbone=PreAct-ResNet18, Hardware=RTX 4090Ti GPU, Number of images=25002023.06 | 896.45 | — | |
| NoneBackbone=WRN-16-1, Attack=BadNets2023.03 | 1,152 | 0 | |
| FPBatch size=256, Backbone=PreAct-ResNet18, Hardware=RTX 4090Ti GPU, Number of images=25002023.06 | 1,169.01 | — | |
| NADBackbone=WRN-16-1, Attack=BadNets2023.03 | 1,306 | 13.4 | |
| CBDBackbone=WRN-16-1, Attack=BadNets2023.03 | 1,317 | 14.3 | |
| ABLBackbone=WRN-16-1, Attack=BadNets2023.03 | 1,383 | 20 | |
| FPBackbone=WRN-16-1, Attack=BadNets2023.03 | 1,515 | 31.5 | |
| MCRBackbone=WRN-16-1, Attack=BadNets2023.03 | 3,445 | 127.4 | |
| DBDBackbone=WRN-16-1, Attack=BadNets2023.03 | 5,280 | 358.3 |