Membership Inference Attack on CIFAR Lacuna Large-scale (Class Unlearning)
49.33Mean Attack Success RateRetrain
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| RetrainBackbone=ResNet-182024.11 | 49.33 | 1.67 | |
| AdaProbBackbone=ResNet-182024.11 | 51 | 1.05 | |
| SCRUBBackbone=ALL-CNN2024.11 | 52 | 0 | |
| SCRUB+RBackbone=ALL-CNN2024.11 | 52 | 0 | |
| SCRUBBackbone=ResNet-182024.11 | 52.2 | 1.71 | |
| SCRUB+RBackbone=ResNet-182024.11 | 52.2 | 1.71 | |
| Bad-TBackbone=ResNet-182024.11 | 54 | 1.1 | |
| AdaProbBackbone=ALL-CNN2024.11 | 54 | 0.7 | |
| EU-kBackbone=ResNet-182024.11 | 54.2 | 2.27 | |
| RetrainBackbone=ALL-CNN2024.11 | 55 | 4 | |
| Bad-TBackbone=ALL-CNN2024.11 | 63.4 | 1.2 | |
| OriginalBackbone=ALL-CNN2024.11 | 66.5 | 0.5 | |
| EU-kBackbone=ALL-CNN2024.11 | 66.5 | 3.5 | |
| FinetuneBackbone=ALL-CNN2024.11 | 68 | 1 | |
| CF-kBackbone=ALL-CNN2024.11 | 69 | 2 | |
| NegGrad+Backbone=ResNet-182024.11 | 69.57 | 1.19 | |
| OriginalBackbone=ResNet-182024.11 | 71.1 | 0.67 | |
| NegGrad+Backbone=ALL-CNN2024.11 | 72 | 0 | |
| FinetuneBackbone=ResNet-182024.11 | 75.57 | 0.69 | |
| CF-kBackbone=ResNet-182024.11 | 75.73 | 0.34 |