Single-class Unlearning on CIFAR-10
100Retain AccuracyOriginal Model
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Original ModelRemain data or intervention=false2025.03 | 100 | 100 | 97 | 95.31 | — | 99.08 | — | — | |
| Retrain ModelRemain data or intervention=true2025.03 | 100 | 0 | 0 | 95.2 | 96.09 | 0 | — | — | |
| DELETERemain data or intervention=false2025.03 | 100 | 0 | 0 | 95.03 | 96 | 0 | — | — | |
| Bad TeacherRemain data or intervention=true2025.03 | 99.99 | 0.34 | 0.3 | 94.98 | 95.83 | 0 | — | — | |
| SCRUBRemain data or intervention=true2025.03 | 99.92 | 0 | 0 | 94.94 | 95.96 | 0 | — | — | |
| Saliency UnlearnRemain data or intervention=true2025.03 | 99.73 | 0.84 | 0.1 | 93.91 | 95.38 | 0.02 | — | — | |
| Influence UnlearnRemain data or intervention=false2025.03 | 99.58 | 1.04 | 0.6 | 93.21 | 94.78 | 0 | — | — | |
| FinetuneRemain data or intervention=true2025.03 | 99.53 | 0.12 | 0 | 93.83 | 95.39 | 0 | — | — | |
| Learn to UnlearnRemain data or intervention=false2025.03 | 96.49 | 12.36 | 8.6 | 90.02 | 89.2 | 7.56 | — | — | |
| Bad TeacherRemain data or intervention=false2025.03 | 92.23 | 1.98 | 18.8 | 87.13 | 82.42 | 0.52 | — | — | |
| RetrainBackbone=VGG-162026.06 | 90.92 | 0 | — | — | — | 29.8 | — | — | |
| FinetuneBackbone=VGG-162026.06 | 90.76 | 75.9 | — | — | — | 20.4 | — | — | |
| Boundary ExpandRemain data or intervention=false2025.03 | 90.74 | 11.32 | 15 | 79.37 | 80.66 | 0.86 | — | — | |
| Random LabelRemain data or intervention=false2025.03 | 90.66 | 0.1 | 1.6 | 82.18 | 88.3 | 0 | — | — | |
| Original ModelBackbone=VGG-162026.06 | 90.63 | 90.2 | — | — | — | 91.4 | — | — | |
| Boundary ShrinkRemain data or intervention=false2025.03 | 90.34 | 0.28 | 4.5 | 84.56 | 88.35 | 0.22 | — | — | |
| RetrainBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 89.7 | — | — | — | — | — | — | 0 | |
| FTBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 89.7 | — | — | — | — | — | — | 48.5 | |
| SSDBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 89.6 | — | — | — | — | — | — | 88.2 | |
| TrustEraseBackbone=VGG-162026.06 | 88.11 | 0 | — | — | — | 0 | — | — | |
| Negative GradientRemain data or intervention=false2025.03 | 83.94 | 11.12 | 7.2 | 75.52 | 82.04 | 7.44 | — | — | |
| DeleteBackbone=VGG-162026.06 | 79.96 | 0.8 | — | — | — | 1.7 | — | — | |
| Saliency UnlearnRemain data or intervention=false2025.03 | 79.19 | 9.98 | 10.5 | 70.18 | 80.53 | 11.7 | — | — | |
| CLIP-LIPBackbone=RN1012026.05 | 75.67 | 3.6 | — | — | 68.5 | — | 87.76 | — | |
| OriginalBackbone=RN1012026.05 | 75.39 | 70.6 | — | — | 74.91 | — | — | — | |
| TIFSBackbone=RN1012026.05 | 73.96 | 8.97 | — | — | 73.49 | — | 87.73 | — | |
| AmnesiacBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 70.1 | — | — | — | — | — | — | 13.5 | |
| CATABackbone=RN502026.05 | 69.46 | 3.3 | — | — | 62.84 | — | 96.52 | — | |
| CATABackbone=RN1012026.05 | 69.41 | 3.05 | — | — | 70.77 | — | 87.86 | — | |
| CLIP-LIPBackbone=RN502026.05 | 68.44 | 67.8 | — | — | 68.34 | — | 81.87 | — | |
| OriginalBackbone=RN502026.05 | 66.61 | 54.1 | — | — | 65.37 | — | — | — | |
| FTBackbone=RN1012026.05 | 63.84 | 14.9 | — | — | 57.89 | — | 40.13 | — | |
| Bad TeacherBackbone=VGG-162026.06 | 63.82 | 3.8 | — | — | — | 6.2 | — | — | |
| SalUnBackbone=VGG-162026.06 | 63.62 | 26.8 | — | — | — | 40 | — | — | |
| FTBackbone=RN502026.05 | 63.29 | 22.4 | — | — | 58.2 | — | 36.79 | — | |
| TIFSBackbone=RN502026.05 | 61.61 | 5.03 | — | — | 60.47 | — | 89.35 | — | |
| Random LabelsBackbone=VGG-162026.06 | 60.2 | 4.5 | — | — | — | 8.2 | — | — | |
| Fisher ForgetRemain data or intervention=true2025.03 | 57.33 | 68.94 | 68.3 | 59.73 | 38.77 | 59.5 | — | — | |
| Boundary ExpandBackbone=VGG-162026.06 | 52.91 | 19.9 | — | — | — | 24 | — | — | |
| Gradient AscentBackbone=VGG-162026.06 | 48.36 | 23.2 | — | — | — | 51.6 | — | — | |
| BUBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 47.4 | — | — | — | — | — | — | 0 | |
| Boundary ShrinkBackbone=VGG-162026.06 | 42.74 | 0 | — | — | — | 92.8 | — | — | |
| GABackbone=RN502026.05 | 27.01 | 5.9 | — | — | 24.9 | — | 26.34 | — | |
| GABackbone=RN1012026.05 | 25.86 | 4.5 | — | — | 23.72 | — | 29 | — | |
| TargetBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 24.1 | — | — | — | — | — | — | 0 | |
| UNSIRBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 23.3 | — | — | — | — | — | — | 0 | |
| LIPBackbone=RN1012026.05 | 16.13 | 0 | — | — | 16.03 | — | 20.43 | — | |
| FisherBackbone=RN1012026.05 | 15.08 | 0 | — | — | 14.98 | — | 20.11 | — | |
| LIPBackbone=RN502026.05 | 14.85 | 0 | — | — | 14.58 | — | 20.46 | — | |
| FisherBackbone=RN502026.05 | 12.39 | 0 | — | — | 12.16 | — | 19.49 | — | |
| EMMNBackbone=RN502026.05 | 11.34 | 0.3 | — | — | 10.24 | — | 52.68 | — | |
| L2ULBackbone=VGG-162026.06 | 11.11 | 0 | — | — | — | 0 | — | — | |
| FisherBackbone=ResNet18, Learning Setting=Vertical Federated Learning (VFL)2026.05 | 9 | — | — | — | — | — | — | 14.6 | |
| EMMNBackbone=RN1012026.05 | 6.47 | 78.3 | — | — | 13.65 | — | 39.13 | — |