Tabular Data Watermarking on Shoppers (Fidelity & Detection Metrics)
0.919DensityW/O
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| W/O2025.11 | 0.919 | 0.91 | 0.704 | 0.902 | — | — | — | |
| TabWak*Batch size=1K rows, Detector=row-level2025.11 | 0.916 | 0.906 | 0.674 | 0.905 | 4.071 | 0 | 4 | |
| TabWak*Batch size=5K rows, Detector=row-level2025.11 | 0.916 | 0.906 | 0.674 | 0.905 | 10.38 | 0 | 100 | |
| TabularMarkBatch size=1K rows, Detector=cell-based2025.11 | 0.914 | 0.908 | 0.704 | 0.897 | 10.28 | 0 | 91 | |
| TabularMarkBatch size=5K rows, Detector=cell-based2025.11 | 0.914 | 0.908 | 0.704 | 0.897 | 22.94 | 0 | 100 | |
| MUSEBatch size=1K rows, Detector=row-level2025.11 | 0.911 | 0.908 | 0.71 | 0.895 | 12.8 | 0 | 100 | |
| MUSEBatch size=5K rows, Detector=row-level2025.11 | 0.911 | 0.908 | 0.71 | 0.895 | 28.83 | 0 | 100 | |
| TAB-DRWBatch size=1K rows, Detector=row-level, Hyperparameters (gamma, delta)=(0.5, 0.5)2025.11 | 0.909 | 0.902 | 0.712 | 0.891 | 18.18 | 0 | 100 | |
| TAB-DRWBatch size=5K rows, Detector=row-level, Hyperparameters (gamma, delta)=(0.5, 0.5)2025.11 | 0.909 | 0.902 | 0.712 | 0.891 | 40.74 | 0 | 100 | |
| GLWBatch size=1K rows, Detector=row-level2025.11 | 0.903 | 0.908 | 0.706 | 0.893 | 17.84 | 0 | 100 | |
| GLWBatch size=5K rows, Detector=row-level2025.11 | 0.903 | 0.908 | 0.706 | 0.893 | 39.08 | 0 | 100 |