Machine Unlearning Attack on MNIST, Fashion-MNIST, SVHN, and CIFAR10 Aggregated Average
92.62ASR (NG)White-box Attack
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| White-box AttackClassification Method=Entropy, Attack Setting=Based on Reverse Data2026.04 | 92.62 | 100 | 100 | 100 | 100 | 98.52 | |
| White-box AttackClassification Method=Threshold, Attack Setting=Based on Reverse Data2026.04 | 92.5 | 100 | 100 | 100 | 99.75 | 98.45 | |
| White-box AttackClassification Method=Threshold, Data Source=Reverse Data, Unlearning Scenario=Multi-Class2026.04 | 88 | 88.87 | 94.5 | 95.75 | 89 | 91.22 | |
| White-box AttackClassification Method=Entropy, Data Source=Reverse Data, Unlearning Scenario=Multi-Class2026.04 | 85.25 | 86.5 | 94.12 | 94 | 86.37 | 89.24 | |
| Black-box AttackClassification Method=Threshold, Attack Setting=Based on Reverse Data2026.04 | 77.87 | 78.75 | 77.37 | 76.25 | 78.5 | 77.75 | |
| Black-box AttackClassification Method=Entropy, Attack Setting=Based on Reverse Data2026.04 | 77.75 | 78.87 | 73.75 | 75.13 | 71.42 | 76.65 | |
| Black-box AttackClassification Method=Threshold, Data Source=Reverse Data, Unlearning Scenario=Multi-Class2026.04 | 72.87 | 76 | 77.62 | 75.88 | 77.08 | 75.89 | |
| Black-box AttackClassification Method=Entropy, Data Source=Reverse Data, Unlearning Scenario=Multi-Class2026.04 | 72 | 76 | 75.63 | 75 | 71.42 | 74.01 |