Machine Unlearning on CIFAR10 ResNet18 (test)
94.7Utility Before UnlearningRetrain
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| RetrainBackbone=ResNet18, Forget ratio=5%, Fine-tuning epochs=52025.07 | 94.7 | 94.25 | 57.71 | 50.04 | 4.18 | 0.82 | |
| Certified-SPBackbone=ResNet18, Forget ratio=5%, Fine-tuning epochs=5, epsilon=1, delta=1e-52025.07 | 94.7 | 45.91 | 57.71 | 48.47 | 4.18 | 1.02 | |
| SISABackbone=ResNet18, Forget ratio=5%, Fine-tuning epochs=52025.07 | 87.34 | 69.19 | 52.05 | 48.07 | 1.63 | 0.79 | |
| EUPGBackbone=ResNet18, Forget ratio=5%, Fine-tuning epochs=5, k=302025.07 | 85.89 | 85.4 | 49.64 | 47.41 | 1.25 | 1 | |
| EUPGBackbone=ResNet18, Forget ratio=5%, Fine-tuning epochs=5, epsilon=1, delta=02025.07 | 83.54 | 83.17 | 49.18 | 47.52 | 1.15 | 1.03 |