Object Classification Unlearning on CIFAR-10 (10% random data forgetting)
8.7UANegGrad+
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| NegGrad+Backbone=ResNet-18, Unlearning Scenario=10% random data forgetting2025.01 | 8.7 | 98.8 | 92.2 | 90.3 | 93.4 | 94.8 | 1.068 | 1.086 | 87.5 | 87.3 | |
| RTBackbone=ResNet-18, Unlearning Scenario=10% random data forgetting2025.01 | 8.6 | 99.7 | 91.8 | 86.9 | 94.1 | 94.4 | 1.089 | 1.074 | 86.4 | 87.9 | |
| RLBackbone=ResNet-18, TParams=100%2026.05 | 7.61 | 99.67 | 92.83 | 37.36 | — | — | — | — | — | — | |
| RLBackbone=ResNet-18, Unlearning Scenario=10% random data forgetting2025.01 | 7.6 | 97.4 | 90.6 | 74.2 | 97 | 94.9 | 1.242 | 1.197 | 78.8 | 79.6 | |
| RetrainBackbone=ResNet-18, TParams=100%2026.05 | 5.24 | 100 | 94.26 | 12.88 | — | — | — | — | — | — | |
| SFRonBackbone=ResNet-18, Unlearning Scenario=10% random data forgetting2025.01 | 4.8 | 97.4 | 91.4 | 91.6 | 97.7 | 95.3 | 1.1 | 1.143 | 88.9 | 83.4 | |
| ℓ1-sparseBackbone=ResNet-18, TParams=100%2026.05 | 4.19 | 97.74 | 91.59 | 9.84 | — | — | — | — | — | — | |
| SalUn-softBackbone=ResNet-18, TParams=100%2026.05 | 4.19 | 99.74 | 93.44 | 19.49 | — | — | — | — | — | — | |
| FTBackbone=ResNet-18, Unlearning Scenario=10% random data forgetting2025.01 | 3.8 | 98.1 | 91.6 | 92 | 99.4 | 95.1 | 1.008 | 1.026 | 98.6 | 92.7 | |
| SalunBackbone=ResNet-18, Unlearning Scenario=10% random data forgetting2025.01 | 3.7 | 98.9 | 91.8 | 57.6 | 98.7 | 95 | 1.132 | 1.143 | 87.2 | 83.2 | |
| SCRUBBackbone=ResNet-18, Unlearning Scenario=10% random data forgetting2025.01 | 3.4 | 98 | 92 | 93.8 | 98.4 | 94.6 | 1.06 | 1.085 | 95.2 | 87.3 | |
| SalUnBackbone=ResNet-18, TParams=100%2026.05 | 2.85 | 99.62 | 93.93 | 14.39 | — | — | — | — | — | — | |
| BSBackbone=ResNet-18, TParams=100%2026.05 | 1.78 | 98.29 | 92.69 | 8.96 | — | — | — | — | — | — | |
| IUBackbone=ResNet-18, TParams=100%2026.05 | 1.07 | 99.2 | 93.2 | 2.67 | — | — | — | — | — | — | |
| TeacherBackbone=ResNet-18, Unlearning Scenario=10% random data forgetting2025.01 | 0.8 | 99.4 | 93.5 | 87.2 | 99.1 | 94.1 | 1.003 | 1.021 | 99.3 | 92.2 | |
| LoTUSBackbone=ResNet-18, Unlearning Scenario=10% random data forgetting2025.01 | 0.7 | 99.2 | 93.5 | 97.8 | 99.6 | 95.5 | 1.014 | 1.063 | 98 | 89.9 | |
| GABackbone=ResNet-18, TParams=100%2026.05 | 0.69 | 99.5 | 94.01 | 1.7 | — | — | — | — | — | — | |
| SEMU-remainBackbone=ResNet-18, TParams=0.54%2026.05 | 0.69 | 99.43 | 94.3 | 5.51 | — | — | — | — | — | — | |
| FTBackbone=ResNet-18, TParams=100%2026.05 | 0.63 | 99.88 | 94.06 | 2.7 | — | — | — | — | — | — | |
| GABackbone=ResNet-18, Unlearning Scenario=10% random data forgetting2025.01 | 0.6 | 99.5 | 94.1 | 98.8 | 99.4 | 94.5 | 1.002 | 1.009 | 99.4 | 93.6 | |
| MUNBaBackbone=ResNet-18, Unlearning Scenario=10% random data forgetting2025.01 | 0.6 | 99.8 | 94.4 | 96.3 | 95 | 99.8 | 0.994 | 0.944 | 99.8 | 99.6 | |
| SEMUBackbone=ResNet-18, TParams=0.54%2026.05 | 0.6 | 99.4 | 94.22 | 5.4 | — | — | — | — | — | — | |
| BEBackbone=ResNet-18, TParams=100%2026.05 | 0.59 | 99.42 | 93.85 | 7.47 | — | — | — | — | — | — | |
| BARRIERBackbone=ResNet-18, TParams=0.05%2026.05 | 0.53 | 99.48 | 94.94 | 1.09 | — | — | — | — | — | — | |
| SSDBackbone=ResNet-18, Unlearning Scenario=10% random data forgetting2025.01 | 0.5 | 99.5 | 94.2 | 98.8 | 99.6 | 94.5 | 0.999 | 1.008 | 99.4 | 93.6 |