Machine Unlearning on Unlearning Evaluation Dataset Forget, Retain, and Non-member sets
83.3SQS
NSPU
Updated 4d ago
Evaluation Results
| Method | Links | ||
|---|---|---|---|
2026.01 | 83.3 | - | |
2026.01 | 79.8 | - | |
2026.01 | 79.8 | - | |
2026.01 | 79.4 | - | |
2026.01 | 78.5 | - | |
2026.01 | 78.5 | - | |
2026.01 | 76.5 | - | |
2026.01 | 76.5 | - | |
2026.01 | 75.1 | - | |
2026.01 | 74.2 | - | |
2026.01 | 73.7 | - | |
2026.01 | 72.3 | - | |
2026.01 | 70.6 | - | |
2026.01 | 69.8 | - | |
2026.01 | 69.4 | - | |
2026.01 | 69.1 | - | |
2026.01 | 65 | - | |
2026.01 | 62.9 | - | |
2026.01 | 56.5 | - | |
2026.01 | 52.8 | - | |
2026.01 | 46.2 | - | |
2026.01 | 40.3 | - | |
2026.01 | 40.3 | - | |
2026.01 | 17.5 | - | |
2026.01 | - | 0.688 | |
2026.01 | - | 0.659 | |
2026.01 | - | 0.688 | |
2026.01 | - | 0.599 | |
2026.01 | - | 0.564 | |
2026.01 | - | 0.773 |