B2Mark: A Blind and Buyer-Traceable Watermarking Scheme for Tabular Datasets
Summary: B2Mark: blind, buyer-traceable watermark for tabular data; supports numerical and categorical attributes via value-domain partitioning. Detection uses hypothesis testing to extract buyer IDs without original data, enabling multi-buyer traceability. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yihao Zheng
- 2. Jinfei Liu
- 3. Kui Ren
- 4. Li Xiong
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,403 | Watermarking Relational Databases | 2002 | VLDB | 8.8867734e-05 |
| 4,764 | Rights Protection for Relational Data | 2003 | SIGMOD | 5.9395463e-05 |
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