Machine Unlearning on CIFAR-10
99.94AccrOriginal Model
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Original ModelBackbone=VGGNet-162025.03 | 99.94 | 99.94 | 91.2 | 92.02 | — | 99.88 | — | — | — | |
| Original ModelBackbone=VGG-162025.03 | 99.94 | 99.94 | 91.2 | 92.02 | — | 99.88 | — | — | — | |
| Retrain ModelBackbone=VGGNet-162025.03 | 99.71 | 0 | 0 | 92.49 | 91.84 | 0 | — | — | — | |
| Retrain ModelBackbone=VGG-162025.03 | 99.71 | 0 | 0 | 92.49 | 91.84 | 0 | — | — | — | |
| DELETEBackbone=VGGNet-162025.03 | 99.66 | 0 | 0 | 92.08 | 91.64 | 0 | — | — | — | |
| OursBackbone=VGG-162025.03 | 99.66 | 0 | 0 | 92.08 | 91.64 | 0 | — | — | — | |
| Random LabelBackbone=VGG-162025.03 | 96.35 | 0 | 0 | 88.16 | 89.65 | 0 | — | — | — | |
| PURGE#Cls=1, Objective=kl_retain2026.06 | 96.3 | — | — | — | — | 49.6 | — | 84.5 | 8.4 | |
| Learn to UnlearnBackbone=VGG-162025.03 | 94.1 | 3.28 | 3 | 85.56 | 86.86 | 1.96 | — | — | — | |
| Influence UnlearnBackbone=VGG-162025.03 | 93.17 | 1.86 | 1.6 | 84.74 | 87.1 | 1.3 | — | — | — | |
| Retrain ModelBackbone=ViT-S2025.03 | 92.42 | 0 | 0 | 76.44 | 74.52 | 0 | — | — | — | |
| Retrain ModelBackbone=ViT-S2025.03 | 92.42 | 0 | 0 | 76.44 | 74.52 | 0 | — | — | — | |
| Negative GradientBackbone=VGG-162025.03 | 92.11 | 0.36 | 0.2 | 83.77 | 87.24 | 0.2 | — | — | — | |
| Boundary ShrinkBackbone=VGGNet-162025.03 | 91.15 | 6.68 | 6.8 | 82.79 | 83.59 | 2.84 | — | — | — | |
| Boundary ShrinkBackbone=VGG-162025.03 | 91.15 | 6.68 | 6.8 | 82.79 | 83.59 | 2.84 | — | — | — | |
| Bad TeacherBackbone=VGG-162025.03 | 90.95 | 7.14 | 7.2 | 82.9 | 83.45 | 0 | — | — | — | |
| DELETEBackbone=ViT-S2025.03 | 90.74 | 0 | 0 | 77.21 | 74.89 | 0 | — | — | — | |
| OursBackbone=ViT-S2025.03 | 90.74 | 0 | 0 | 77.21 | 74.89 | 0 | — | — | — | |
| Original ModelBackbone=ViT-S2025.03 | 90.57 | 90.5 | 72.7 | 75.73 | — | 84.6 | — | — | — | |
| Original ModelBackbone=ViT-S2025.03 | 90.57 | 90.5 | 72.7 | 75.73 | — | 84.6 | — | — | — | |
| Influence UnlearnBackbone=ViT-S2025.03 | 87.09 | 0.98 | 0.9 | 75.2 | 73.46 | 0.78 | — | — | — | |
| OursBackbone=Swin-T2025.03 | 86.68 | 0 | 0 | 83.61 | 83.15 | 0 | — | — | — | |
| Original ModelBackbone=Swin-T2025.03 | 86.58 | 85 | 82.7 | 82.68 | — | 82.94 | — | — | — | |
| Original ModelBackbone=Swin-T2025.03 | 86.58 | 85 | 82.7 | 82.68 | — | 82.94 | — | — | — | |
| Retrain ModelBackbone=Swin-T2025.03 | 86.41 | 0 | 0 | 82.77 | 82.73 | 0 | — | — | — | |
| Retrain ModelBackbone=Swin-T2025.03 | 86.41 | 0 | 0 | 82.77 | 82.73 | 0 | — | — | — | |
| DELETEBackbone=Swin-T2025.03 | 85.37 | 0 | 0 | 83.09 | 82.89 | 0 | — | — | — | |
| Negative GradientBackbone=ViT-S2025.03 | 85.25 | 0.38 | 0.5 | 73.34 | 72.77 | 0.34 | — | — | — | |
| Learn to UnlearnBackbone=ViT-S2025.03 | 85.11 | 0.46 | 0.3 | 73.2 | 72.8 | 0.36 | — | — | — | |
| Boundary ExpandBackbone=VGG-162025.03 | 84.95 | 2.82 | 2.1 | 77.27 | 82.76 | 1.38 | — | — | — | |
| Learn to UnlearnBackbone=Swin-T2025.03 | 79.55 | 0.52 | 0.4 | 76.5 | 79.29 | 0.14 | — | — | — | |
| Saliency UnlearnBackbone=ViT-S2025.03 | 77.54 | 6.22 | 5.9 | 68.46 | 67.62 | 7.14 | — | — | — | |
| Random LabelBackbone=ViT-S2025.03 | 77.38 | 1.32 | 1.8 | 68.51 | 69.68 | 2.24 | — | — | — | |
| Saliency UnlearnBackbone=Swin-T2025.03 | 76.88 | 11.16 | 8 | 72.4 | 73.53 | 12.4 | — | — | — | |
| Influence UnlearnBackbone=Swin-T2025.03 | 76.02 | 0.04 | 0 | 72.99 | 77.54 | 0 | — | — | — | |
| Boundary ExpandBackbone=ViT-S2025.03 | 75.86 | 8.02 | 7.8 | 67.42 | 66.14 | 9.24 | — | — | — | |
| Random LabelBackbone=Swin-T2025.03 | 74.86 | 3.68 | 0.9 | 70.42 | 75.68 | 4.68 | — | — | — | |
| Bad TeacherBackbone=Swin-T2025.03 | 74.77 | 8.96 | 6.3 | 68.86 | 72.43 | 7.24 | — | — | — | |
| Bad TeacherBackbone=ViT-S2025.03 | 74.66 | 6.02 | 5.4 | 67.27 | 67.28 | 7.32 | — | — | — | |
| Negative GradientBackbone=Swin-T2025.03 | 74.6 | 0.46 | 0.1 | 71.98 | 76.93 | 0.22 | — | — | — | |
| Saliency UnlearnBackbone=VGG-162025.03 | 73.37 | 11.24 | 10.9 | 69.09 | 74.27 | 0 | — | — | — | |
| Boundary ShrinkBackbone=ViT-S2025.03 | 73.16 | 1.84 | 1.7 | 65.59 | 68.19 | 1.66 | — | — | — | |
| Boundary ShrinkBackbone=ViT-S2025.03 | 73.16 | 1.84 | 1.7 | 65.59 | 68.19 | 1.66 | — | — | — | |
| Boundary ExpandBackbone=Swin-T2025.03 | 70.36 | 2.58 | 1 | 65.67 | 72.81 | 3.26 | — | — | — | |
| Boundary ShrinkBackbone=Swin-T2025.03 | 62.94 | 5.54 | 2.5 | 58.18 | 67.44 | 11.36 | — | — | — | |
| Boundary ShrinkBackbone=Swin-T2025.03 | 62.94 | 5.54 | 2.5 | 58.18 | 67.44 | 11.36 | — | — | — | |
| Boundary ShrinkBackbone=All-CNN2025.04 | — | — | — | — | — | — | 87.19 | — | — | |
| Boundary ShrinkBackbone=ViT2025.04 | — | — | — | — | — | — | 96.79 | — | — | |
| ESCBackbone=All-CNN2025.04 | — | — | — | — | — | — | 89.49 | — | — | |
| ESCBackbone=ViT2025.04 | — | — | — | — | — | — | 99.52 | — | — | |
| ESC-TBackbone=All-CNN2025.04 | — | — | — | — | — | — | 86.99 | — | — | |
| ESC-TBackbone=ViT2025.04 | — | — | — | — | — | — | 98.82 | — | — | |
| FinetuneBackbone=All-CNN2025.04 | — | — | — | — | — | — | 82.12 | — | — | |
| FinetuneBackbone=ViT2025.04 | — | — | — | — | — | — | 89.39 | — | — | |
| LAUBackbone=All-CNN2025.04 | — | — | — | — | — | — | 77.73 | — | — | |
| LAUBackbone=ViT2025.04 | — | — | — | — | — | — | 95.13 | — | — | |
| OriginalBackbone=All-CNN2025.04 | — | — | — | — | — | — | 67.17 | — | — | |
| OriginalBackbone=ViT2025.04 | — | — | — | — | — | — | 82.65 | — | — | |
| RetrainBackbone=All-CNN2025.04 | — | — | — | — | — | — | 79.46 | — | — | |
| RetrainBackbone=ViT2025.04 | — | — | — | — | — | — | 93.78 | — | — |