Machine Unlearning on CIFAR-10 Truck Class Removal (test)
100Accuracy (Retain)Retrain
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| RetrainModel=ResNet-182025.09 | 100 | 100 | 95.14 | 100 | 0 | 27.37 | |
| ℓ1-sparseModel=ResNet-182025.09 | 100 | 100 | 95.1 | 100 | 0.01 | 4.51 | |
| SalUnModel=ResNet-182025.09 | 100 | 100 | 95.11 | 100 | 0.01 | 8.66 | |
| NoTModel=ResNet-182025.09 | 100 | 100 | 95.14 | 100 | 0 | 6.02 | |
| CoUnModel=ResNet-182025.09 | 100 | 100 | 95.18 | 100 | 0.01 | 9.03 | |
| NegGrad+Model=ResNet-182025.09 | 99.98 | 100 | 95.1 | 100 | 0.02 | 9.03 | |
| FTModel=ResNet-182025.09 | 99.97 | 100 | 94.99 | 100 | 0.04 | 6.02 |