Machine Unlearning on Fashion-MNIST 2% subset
0.9421AccuracyCertified
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Certified2025.12 | 0.9421 | 7.6567 | 0.5894 | — | |
| EU-k1k=12025.12 | 0.9367 | 7.5897 | 0.5806 | — | |
| LCA2025.12 | 0.9365 | 7.4035 | 0.5716 | — | |
| SCRUBregularization=false2025.12 | 0.9238 | 7.7233 | 0.5884 | — | |
| SCRUBregularization=true2025.12 | 0.9177 | 7.6179 | 0.5848 | — | |
| ADV-UNIF2025.12 | 0.9066 | 7.5455 | 0.5798 | — | |
| Q-MUL2025.12 | 0.9021 | 7.7026 | 0.5851 | — | |
| CF-k1k=12025.12 | 0.8343 | 7.4582 | 0.5744 | — | |
| NegGrad+2025.12 | 0.8219 | 7.374 | 0.5722 | — | |
| Fisher2025.12 | 0.7452 | 7.3444 | 0.5701 | — | |
| GA2025.12 | 0.7036 | 7.2465 | 0.5634 | — | |
| ADV-UNIF2025.12 | — | — | — | 0.5137 | |
| Certified2025.12 | — | — | — | 0.525 | |
| CF-k1k=12025.12 | — | — | — | 0.5058 | |
| EU-k1k=12025.12 | — | — | — | 0.4989 | |
| Fisher2025.12 | — | — | — | 0.4974 | |
| GA2025.12 | — | — | — | 0.5217 | |
| LCA2025.12 | — | — | — | 0.0051 | |
| NegGrad+2025.12 | — | — | — | 0.5 | |
| Q-MUL2025.12 | — | — | — | 0.5321 | |
| SCRUBregularization=false2025.12 | — | — | — | 0.5137 | |
| SCRUBregularization=true2025.12 | — | — | — | 0.5098 |