Membership Inference Attack on CIFAR-100 Low forget set
71.633MIA Correctness RateSCRUB
Evaluation Results
| Method | Links | |
|---|---|---|
| SCRUBOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 71.633 | |
| SCRUBOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 56.3 | |
| SCRUBOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 32.6 | |
| RLOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 15.8 | |
| RLOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 13.5 | |
| RLOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 12.7 | |
| SalUnOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 11.167 | |
| RLOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 10.767 | |
| RLOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 10.667 | |
| SCRUBOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 9.833 | |
| RLOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 9.467 | |
| SalUnOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 8.8 | |
| L1-SparseOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 8.6 | |
| RLOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 8.267 | |
| SalUnOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 7.333 | |
| SalUnOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 6.867 | |
| SalUnOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 6.633 | |
| RLOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 5.833 | |
| L1-SparseOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 5.8 | |
| L1-SparseOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 5.5 | |
| L1-SparseOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 5.033 | |
| SalUnOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 4.5 | |
| SalUnOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 4.2 | |
| SalUnOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 4.067 | |
| L1-SparseOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 4 | |
| L1-SparseOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 3.9 | |
| L1-SparseOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 3.8 | |
| L1-SparseOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 3.6 | |
| NegGradOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 3.433 | |
| NegGradOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 2.167 | |
| NegGradOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 1.8 | |
| NegGradOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 1.733 | |
| NegGradOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 0.733 | |
| NegGradOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 0.7 | |
| NegGradOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 0.533 | |
| NegGradOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 0.366 | |
| SCRUBOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 0.2 | |
| SCRUBOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 0.2 | |
| SCRUBOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 0.167 | |
| SCRUBOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 0.1 |