Membership Inference Attack on CIFAR-100 High forget set
94.933MIA Attack Success RateL1-Sparse
Evaluation Results
| Method | Links | |
|---|---|---|
| L1-SparseOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 94.933 | |
| L1-SparseOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 94.733 | |
| L1-SparseOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 94.3 | |
| L1-SparseOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 94.267 | |
| L1-SparseOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 93.833 | |
| L1-SparseOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 93.8 | |
| L1-SparseOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 93.633 | |
| L1-SparseOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 92.867 | |
| RLOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 91.633 | |
| RLOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 91.6 | |
| RLOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 90.767 | |
| RLOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 90.3 | |
| RLOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 89.167 | |
| RLOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 89.067 | |
| NegGradOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 88.867 | |
| RLOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 88 | |
| NegGradOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 86.933 | |
| RLOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 86.3 | |
| NegGradOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 85.6 | |
| SalUnOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 84.533 | |
| NegGradOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 84.5 | |
| SalUnOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 83.433 | |
| NegGradOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 82.167 | |
| SalUnOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 81.7 | |
| SalUnOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 81.467 | |
| NegGradOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 81.233 | |
| SalUnOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 79.3 | |
| SalUnOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 79.1 | |
| SalUnOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 75.633 | |
| SalUnOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 74.967 | |
| NegGradOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 74.667 | |
| NegGradOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 73.967 | |
| SCRUBOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 64.733 | |
| SCRUBOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 57.367 | |
| SCRUBOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 55.433 | |
| SCRUBOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 54.767 | |
| SCRUBOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 46.467 | |
| SCRUBOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 44.7 | |
| SCRUBOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 39.3 | |
| SCRUBOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 14.433 |