Image Classification on CIFAR-10 Sample Unlearning (Df)
100AccuracyOriginal
Evaluation Results
| Method | Links | |
|---|---|---|
| OriginalBackbone=ResNet182024.11 | 100 | |
| FinetuneBackbone=ResNet182024.11 | 100 | |
| OriginalBackbone=ViT2024.11 | 100 | |
| FinetuneBackbone=ViT2024.11 | 100 | |
| SCRUBBackbone=ViT2024.11 | 100 | |
| NegGradBackbone=ResNet182024.11 | 99.22 | |
| SCRUBBackbone=ResNet182024.11 | 99.22 | |
| RetrainBackbone=ViT2024.11 | 99.22 | |
| Residual Feature Alignment UnlearningBackbone=ViT2024.11 | 99.22 | |
| NegGradBackbone=ViT2024.11 | 98.44 | |
| BadTBackbone=ViT2024.11 | 98.44 | |
| Residual Feature Alignment UnlearningBackbone=ResNet182024.11 | 97.66 | |
| RetrainBackbone=ResNet182024.11 | 96.88 | |
| BadTBackbone=ResNet182024.11 | 82.81 |