Face Unlearning on CelebA D_r retain set (test)
96.6AccuracyOriginal
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| OriginalBackbone=IResNet-50, Pretrained=InsightFace2025.12 | 96.6 | 0.616 | |
| Contrastive Unlearning2025.12 | 96.6 | 0.62 | |
| Random Labelinglambda_retain=12025.12 | 96.5 | 0.626 | |
| Hard Dispersion Losslearning rate=1e-4, margin m=0.22025.12 | 96.47 | 0.597 | |
| Dispersion Losslearning rate=1e-4, margin m=0.22025.12 | 96.43 | 0.599 | |
| Boundary Shrinklearning rate=1e-52025.12 | 96.37 | 0.594 | |
| Gradient Ascentlearning rate=1e-52025.12 | 96.33 | 0.659 | |
| Lipschitz Unlearninglambda_retain=0.052025.12 | 96.33 | 0.637 |