Machine Unlearning on SVHN
99.99Retention Accuracy (RA)Retrained (Baseline)
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Retrained (Baseline)Backbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random2026.04 | 99.99 | 95.16 | 0.2 | 50 | — | — | — | |
| SalUnBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random2026.04 | 99.86 | 1.98 | 0.09 | 4 | 0.17 | 0.06 | 0.55 | |
| RELOADBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random2026.04 | 99.76 | 0.08 | 0.01 | 0 | 0.12 | 0.05 | 0.19 | |
| FisherBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random2026.04 | 99.61 | 0.15 | 0 | 1 | 2.17 | 0.07 | 0.56 | |
| SCRUBBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random2026.04 | 98.41 | 4.47 | 0.19 | 5 | 0.02 | 0.06 | 0.65 | |
| GABackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random2026.04 | 98.38 | 4.4 | 0.18 | 5 | 0 | 0.06 | 0.66 | |
| EU-kBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random2026.04 | 98.31 | 4.48 | 0.19 | 6 | 0.17 | 0.07 | 0.56 | |
| CF-kBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random2026.04 | 98.28 | 4.47 | 0.19 | 5 | 0.17 | 0.06 | 0.55 | |
| FTBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random2026.04 | 98.24 | 4.33 | 0.18 | 4 | 0.26 | 0.05 | 0.48 | |
| SSDBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random2026.04 | 20.02 | 75.41 | 1.89 | 2 | 0.01 | 8.3 | 7.83 |