Membership Inference Attack on CIFAR-100 AVG forget set
57.8MIA CorrectnessRL
Evaluation Results
| Method | Links | |
|---|---|---|
| RLOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 57.8 | |
| RLOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 56.145 | |
| RLOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 55.656 | |
| L1-SparseOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 55.522 | |
| RLOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 54.822 | |
| L1-SparseOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 53.9 | |
| RLOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 53.689 | |
| L1-SparseOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 53.433 | |
| RLOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 53.322 | |
| SCRUBOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 53.155 | |
| RLOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 53.134 | |
| L1-SparseOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 52.756 | |
| L1-SparseOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 52.644 | |
| L1-SparseOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 52.311 | |
| L1-SparseOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 51.733 | |
| SalUnOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 51.6 | |
| L1-SparseOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 51.189 | |
| RLOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 50.655 | |
| SalUnOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 50 | |
| SalUnOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 47.589 | |
| SalUnOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 47.5 | |
| SalUnOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 47.156 | |
| SalUnOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 45.144 | |
| NegGradOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=None2025.06 | 43.6 | |
| SalUnOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 42.889 | |
| SalUnOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 42.456 | |
| NegGradOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 42.111 | |
| NegGradOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 38.8 | |
| NegGradOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 38.689 | |
| NegGradOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 38.444 | |
| NegGradOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 38.356 | |
| SCRUBOptimization Algorithm (A)=SGD, Unlearning enhancement=None2025.06 | 35.544 | |
| NegGradOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 35.433 | |
| SCRUBOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=None2025.06 | 35.144 | |
| NegGradOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 31.689 | |
| SCRUBOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=None2025.06 | 26.911 | |
| SCRUBOptimization Algorithm (A)=ASAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 26.722 | |
| SCRUBOptimization Algorithm (A)=SGD, Unlearning enhancement=ASAM 1.02025.06 | 20.478 | |
| SCRUBOptimization Algorithm (A)=ASAM 1.0, Unlearning enhancement=ASAM 1.02025.06 | 19.822 | |
| SCRUBOptimization Algorithm (A)=SAM 0.1, Unlearning enhancement=ASAM 1.02025.06 | 5.655 |