Machine Unlearning on Tiny-ImageNet (TinyIN) (10% Unlearning)
0Avg GapGold Std
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Gold StdBackbone=Vision Transformer (ViT)2025.03 | 0 | 0 | 228.9 | |
| Gold StdBackbone=ResNet18 (RN18)2025.03 | 0 | 0 | 46.81 | |
| LoTUSBackbone=Vision Transformer (ViT)2025.03 | 0.015 | 0.03 | 13.41 | |
| FinetuningBackbone=Vision Transformer (ViT)2025.03 | 0.0175 | 0.05 | 22.64 | |
| SCRUBBackbone=Vision Transformer (ViT)2025.03 | 0.0225 | 0.04 | 33.25 | |
| SSDBackbone=Vision Transformer (ViT)2025.03 | 0.0225 | 0.04 | 27.27 | |
| UNSIRBackbone=Vision Transformer (ViT)2025.03 | 0.0225 | 0.06 | 21.17 | |
| NegGrad+Backbone=Vision Transformer (ViT)2025.03 | 0.04 | 0.1 | 25.2 | |
| BadTBackbone=Vision Transformer (ViT)2025.03 | 0.0775 | 0.18 | 16.91 | |
| SalUnBackbone=Vision Transformer (ViT)2025.03 | 0.0925 | 0.25 | 76.97 | |
| LoTUSBackbone=ResNet18 (RN18)2025.03 | 0.1675 | 0.62 | 0.62 | |
| RndLblBackbone=ResNet18 (RN18)2025.03 | 0.1925 | 1.71 | 3.44 | |
| SalUnBackbone=ResNet18 (RN18)2025.03 | 0.2025 | 0.17 | 1.62 | |
| FinetuningBackbone=ResNet18 (RN18)2025.03 | 0.22 | 1.8 | 2.85 | |
| NegGrad+Backbone=ResNet18 (RN18)2025.03 | 0.225 | 1.82 | 3.17 | |
| SSDBackbone=ResNet18 (RN18)2025.03 | 0.23 | 1.91 | 5 | |
| UNSIRBackbone=ResNet18 (RN18)2025.03 | 0.2375 | 1.91 | 6.06 | |
| SCRUBBackbone=ResNet18 (RN18)2025.03 | 0.2725 | 0.98 | 3.97 | |
| BadTBackbone=ResNet18 (RN18)2025.03 | 0.285 | 1.81 | 1.91 | |
| RndLblBackbone=Vision Transformer (ViT)2025.03 | 0.2925 | 0.64 | 25.19 |