Image Classification on CIFAR-10 (Badnet Attack, test)
94.63AccuracyBefore
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Beforedefense=None2022.02 | 94.63 | 94.41 | |
| Neural Cleansedefense=Neural Cleanse2022.02 | 94.63 | 94.41 | |
| PBEclean_data_available=true2022.02 | 93.84 | 0.62 | |
| PBEclean_data_available=false2022.02 | 93.62 | 0.68 | |
| ANPdefense=Adversarial Neuron Pruning2022.02 | 92.01 | 0.69 | |
| NADdefense=Neural Attention Distillation2022.02 | 89.63 | 1.01 | |
| Fine-pruningdefense=Fine-pruning2022.02 | 88.2 | 66.13 | |
| Fine-tuningdefense=Fine-tuning2022.02 | 85.54 | 3.68 |