Machine Unlearning on Fashion-MNIST 2% (test)
86.56AccuracyEU-k1
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| EU-k1k=12025.12 | 86.56 | 11.89 | 88.56 | 0.3706 | 0.049 | |
| Certified2025.12 | 86.56 | 3.63 | 89 | 0.2579 | 0.0414 | |
| SCRUBregularization=false2025.12 | 85.56 | 1.43 | 88 | 0.2854 | 0.0446 | |
| LCA2025.12 | 85.44 | 87.16 | 87.06 | 0.5982 | 0.0676 | |
| SCRUBregularization=true2025.12 | 84.88 | 2.35 | 87.19 | 0.3204 | 0.0491 | |
| ADV-UNIF2025.12 | 83.75 | 4.35 | 85.69 | 0.3979 | 0.0564 | |
| Q-MUL2025.12 | 83.56 | 3.25 | 86.13 | 0.327 | 0.0521 | |
| NegGrad+2025.12 | 77.63 | 7.99 | 79.06 | 0.7358 | 0.0925 | |
| CF-k1k=12025.12 | 77.5 | 5.43 | 79.63 | 0.594 | 0.0834 | |
| Fisher2025.12 | 70.94 | 6.28 | 71.5 | 1.1392 | 0.1261 | |
| GA2025.12 | 66.5 | 9.01 | 67.38 | 1.2433 | 0.1484 |