Image Classification on Fashion-MNIST Sample Unlearning (Dt)
95.35AccuracyRetrain
Evaluation results
| Method | Links | |
|---|---|---|
| RetrainBackbone=ViT2024.11 | 95.35 | |
| SCRUBBackbone=ViT2024.11 | 95.29 | |
| FinetuneBackbone=ViT2024.11 | 95.23 | |
| BadTBackbone=ViT2024.11 | 95.11 | |
| OriginalBackbone=ViT2024.11 | 95.06 | |
| Residual Feature Alignment UnlearningBackbone=ViT2024.11 | 94.99 | |
| OriginalBackbone=ResNet182024.11 | 94.98 | |
| NegGradBackbone=ViT2024.11 | 94.88 | |
| Residual Feature Alignment UnlearningBackbone=ResNet182024.11 | 94.85 | |
| RetrainBackbone=ResNet182024.11 | 94.84 | |
| FinetuneBackbone=ResNet182024.11 | 94.77 | |
| NegGradBackbone=ResNet182024.11 | 94.65 | |
| BadTBackbone=ResNet182024.11 | 94.63 | |
| SCRUBBackbone=ResNet182024.11 | 94.5 |