Machine Unlearning on SVHN (Utility & Error Metrics)
100Retention Accuracy (RA)Retrain
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| RetrainBackbone=ViT-Tiny, class-fraction-to-forget=0.9, target-digit=9, runs=52026.05 | 100 | 51.1 | 82.9 | 56.2 | 0 | 2,058.9 | — | |
| IUBackbone=ViT-Tiny, class-fraction-to-forget=0.9, target-digit=9, runs=52026.05 | 100 | 100 | 85.2 | 0 | 26.8 | 36.6 | — | |
| Local Teacher DistillationBackbone=ViT-Tiny, class-fraction-to-forget=0.9, target-digit=9, runs=52026.05 | 99.9 | 57.6 | 82.2 | 88.1 | 9.8 | 306.9 | — | |
| RLBackbone=ViT-Tiny, class-fraction-to-forget=0.9, target-digit=9, runs=52026.05 | 99.6 | 36 | 81.9 | 100 | 15.1 | 200.5 | — | |
| SalUnBackbone=ViT-Tiny, class-fraction-to-forget=0.9, target-digit=9, runs=52026.05 | 99.5 | 31.5 | 81.7 | 100 | 16.3 | 357.6 | — | |
| PURGE#Cls=1, Objective=kl_retain2026.06 | 97.3 | — | 89.5 | 52.4 | — | — | 3.6 | |
| AMUNBackbone=ViT-Tiny, class-fraction-to-forget=0.9, target-digit=9, runs=52026.05 | 94.1 | 57 | 83.4 | 57.6 | 3.4 | 393.9 | — | |
| FTBackbone=ViT-Tiny, class-fraction-to-forget=0.9, target-digit=9, runs=52026.05 | 80.4 | 43.7 | 70.9 | 58.6 | 10.3 | 182.3 | — | |
| GABackbone=ViT-Tiny, class-fraction-to-forget=0.9, target-digit=9, runs=52026.05 | 54 | 36.8 | 46.4 | 60.4 | 25.2 | 7.9 | — |