Machine Unlearning on CIFAR-10 (Fidelity and Cost)
99.99RA (Retention Accuracy)Retrained (Baseline)
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Retrained (Baseline)Backbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random Forgetting2026.04 | 99.99 | 94.4 | 0.23 | 50 | — | — | — | |
| SalUnBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random Forgetting2026.04 | 99.78 | 3.68 | 0.26 | 1 | 0.16 | 0.06 | 0.55 | |
| FisherBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random Forgetting2026.04 | 99.51 | 3.83 | 0.07 | 2 | 1.83 | 0.07 | 0.56 | |
| RELOADBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random Forgetting2026.04 | 99.49 | 1.83 | 0.05 | 0 | 0.26 | 0.12 | 0.53 | |
| SCRUBBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random Forgetting2026.04 | 98.41 | 3.89 | 0.21 | 4 | 0.02 | 0.06 | 0.65 | |
| GABackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random Forgetting2026.04 | 98.38 | 3.86 | 0.21 | 4 | 0 | 0.06 | 0.66 | |
| EU-kBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random Forgetting2026.04 | 98.31 | 3.83 | 0.21 | 5 | 0.21 | 0.07 | 0.56 | |
| CF-kBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random Forgetting2026.04 | 98.28 | 3.81 | 0.21 | 5 | 0.21 | 0.06 | 0.55 | |
| FTBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random Forgetting2026.04 | 98.24 | 1.45 | 0.16 | 3 | 0.27 | 0.05 | 0.48 | |
| SSDBackbone=ResNet-18, Forgetting Percentage=10%, Forgetting Type=Random Forgetting2026.04 | 20.02 | 75.65 | 1.88 | 1 | 0.01 | 8.3 | 7.83 |