Machine Unlearning on CIFAR-10 10% Random Data Removal
100Test Accuracy (TA)Retrain
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| RetrainBackbone=ResNet-18, Comp. Cost (PFLOPs)=27.372025.09 | 100 | — | — | — | 0 | — | 0 | |
| SSDBackbone=ResNet-18, Comp. Cost (PFLOPs)=0.062025.09 | 100 | — | — | — | 3.83 | — | 0 | |
| FTBackbone=ResNet-18, Comp. Cost (PFLOPs)=6.322025.09 | 99.99 | — | — | — | 0.65 | — | 0.01 | |
| NoTBackbone=ResNet-18, Comp. Cost (PFLOPs)=7.522025.09 | 99.99 | — | — | — | 0.3 | — | 0.01 | |
| CoUnBackbone=ResNet-18, Comp. Cost (PFLOPs)=8.022025.09 | 99.99 | — | — | — | 0.25 | — | 0.01 | |
| SCRUBBackbone=ResNet-18, Comp. Cost (PFLOPs)=8.932025.09 | 99.97 | — | — | — | 0.62 | — | 0.03 | |
| ℓ1-sparseBackbone=ResNet-18, Comp. Cost (PFLOPs)=6.922025.09 | 99.97 | — | — | — | 0.38 | — | 0.03 | |
| NegGrad+Backbone=ResNet-18, Comp. Cost (PFLOPs)=6.022025.09 | 99.95 | — | — | — | 0.58 | — | 0.05 | |
| BadTBackbone=ResNet-18, Comp. Cost (PFLOPs)=9.892025.09 | 99.94 | — | — | — | 1.58 | — | 0.06 | |
| CUBackbone=ResNet-18, Comp. Cost (PFLOPs)=3.362025.09 | 99.32 | — | — | — | 0.61 | — | 0.68 | |
| SalUnBackbone=ResNet-18, Comp. Cost (PFLOPs)=8.662025.09 | 99.1 | — | — | — | 0.59 | — | 0.9 | |
| FTBackbone=ResNet-182025.09 | 94.7 | 99.99 | 3.76 | 9.51 | 0.65 | 6.32 | — | |
| RetrainBackbone=ResNet-182025.09 | 94.67 | 100 | 4.81 | 11.02 | 0 | 27.37 | — | |
| NoTBackbone=ResNet-182025.09 | 94.65 | 99.99 | 4.19 | 10.45 | 0.3 | 7.52 | — | |
| CoUnBackbone=ResNet-182025.09 | 94.57 | 99.99 | 4.12 | 10.81 | 0.25 | 8.02 | — | |
| NegGrad+Backbone=ResNet-182025.09 | 94.32 | 99.95 | 4.82 | 9.09 | 0.58 | 6.02 | — | |
| SalUnBackbone=ResNet-182025.09 | 93.84 | 99.1 | 4.31 | 11.15 | 0.59 | 8.66 | — | |
| l1-sparseBackbone=ResNet-182025.09 | 93.81 | 99.97 | 5.4 | 10.97 | 0.38 | 6.92 | — |