Tabular Data Watermarking on Drybean
0.932DensityW/O
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| W/O2025.11 | 0.932 | 0.935 | 0.64 | 0.878 | — | — | — | |
| TabularMarkBatch size=1K rows, Detector=cell-based2025.11 | 0.932 | 0.935 | 0.641 | 0.878 | 7.76 | 0 | 0.71 | |
| TabularMarkBatch size=5K rows, Detector=cell-based2025.11 | 0.932 | 0.935 | 0.641 | 0.878 | 17.28 | 0 | 1 | |
| TAB-DRWBatch size=1K rows, Detector=row-level, Hyperparameters (gamma, delta)=(0.5, 0.5)2025.11 | 0.931 | 0.928 | 0.655 | 0.88 | 38.03 | 0 | 1 | |
| TAB-DRWBatch size=5K rows, Detector=row-level, Hyperparameters (gamma, delta)=(0.5, 0.5)2025.11 | 0.931 | 0.928 | 0.655 | 0.88 | 85.05 | 0 | 1 | |
| MUSEBatch size=1K rows, Detector=row-level2025.11 | 0.93 | 0.934 | 0.649 | 0.878 | 14.14 | 0 | 1 | |
| MUSEBatch size=5K rows, Detector=row-level2025.11 | 0.93 | 0.934 | 0.649 | 0.878 | 31.43 | 0 | 1 | |
| GLWBatch size=1K rows, Detector=row-level2025.11 | 0.929 | 0.933 | 0.637 | 0.872 | 55.14 | 0 | 1 | |
| GLWBatch size=5K rows, Detector=row-level2025.11 | 0.929 | 0.933 | 0.637 | 0.872 | 123.3 | 0 | 1 | |
| TabWak*Batch size=1K rows, Detector=row-level2025.11 | 0.924 | 0.925 | 0.659 | 0.875 | 7.999 | 0 | 0.99 | |
| TabWak*Batch size=5K rows, Detector=row-level2025.11 | 0.924 | 0.925 | 0.659 | 0.875 | 17.8 | 0 | 1 |