Machine Unlearning on CIFAR-10 (Utility Metrics)
84.8Target PerformanceOriginal
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| OriginalBackbone=RN502026.05 | 84.8 | 63.2 | 65.36 | |
| OriginalBackbone=RN1012026.05 | 81.6 | 74.17 | 74.91 | |
| CLIP-LIPBackbone=RN502026.05 | 77.7 | 68.56 | 68.68 | |
| EMMNBackbone=RN1012026.05 | 54 | 13.93 | 12.54 | |
| FTBackbone=RN502026.05 | 42.5 | 62.17 | 58.84 | |
| CLIP-LIPBackbone=RN1012026.05 | 35.3 | 72.22 | 72.53 | |
| FTBackbone=RN1012026.05 | 33.1 | 62.6 | 58.32 | |
| GABackbone=RN502026.05 | 8.7 | 31.83 | 29.52 | |
| GABackbone=RN1012026.05 | 7.3 | 33.3 | 30.7 | |
| TIFSBackbone=RN1012026.05 | 2.86 | 65.57 | 66.22 | |
| ICEDBackbone=RN502026.05 | 1.6 | 70.63 | 63.73 | |
| TIFSBackbone=RN502026.05 | 1.44 | 38.99 | 40.33 | |
| FisherBackbone=RN502026.05 | 0 | 10.68 | 11.05 | |
| LIPBackbone=RN502026.05 | 0 | 11.94 | 12.35 | |
| EMMNBackbone=RN502026.05 | 0 | 11.12 | 10.01 | |
| FisherBackbone=RN1012026.05 | 0 | 12.24 | 12.36 | |
| LIPBackbone=RN1012026.05 | 0 | 14.61 | 14.76 | |
| ICEDBackbone=RN1012026.05 | 0 | 80.3 | 72.28 |