Membership Inference Attack on CIFAR-100 Mid forget set
68.267MIA CorrectnessRL
Evaluation Results
| Method | Links | |
|---|---|---|
| RLOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 68.267 | |
| RLOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 63.567 | |
| L1-SparseOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 63.233 | |
| RLOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 62.933 | |
| RLOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 62.667 | |
| L1-SparseOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 62.067 | |
| RLOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 61.967 | |
| L1-SparseOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 61.367 | |
| RLOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 61.3 | |
| RLOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 61.3 | |
| L1-SparseOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 60.033 | |
| RLOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 59.833 | |
| L1-SparseOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 59.333 | |
| SalUnOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 59.233 | |
| SalUnOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 59.1 | |
| L1-SparseOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 58.5 | |
| L1-SparseOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 57.3 | |
| L1-SparseOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 56.033 | |
| SalUnOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 54.667 | |
| SalUnOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 54.167 | |
| SalUnOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 53.133 | |
| SalUnOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 51.833 | |
| SalUnOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 49.5 | |
| SalUnOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 47.667 | |
| NegGradOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 40.2 | |
| NegGradOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 37.233 | |
| NegGradOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 36.967 | |
| NegGradOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 32.1 | |
| NegGradOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 30.1 | |
| NegGradOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 30.1 | |
| NegGradOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 24.533 | |
| SCRUBOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 23.1 | |
| SCRUBOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 22.633 | |
| NegGradOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 20.733 | |
| SCRUBOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 18.6 | |
| SCRUBOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 16.133 | |
| SCRUBOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 14.867 | |
| SCRUBOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 14.567 | |
| SCRUBOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 9.833 | |
| SCRUBOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 2.333 |