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 (Zhejiang University)
- 2. Jinfei Liu (Zhejiang University)
- 3. Kui Ren (Zhejiang University)
- 4. Li Xiong (Emory University)
BibTeX Citation
@inproceedings{zheng_sigmod26,
title = {{B2Mark: A Blind and Buyer-Traceable Watermarking Scheme for Tabular Datasets}},
author = {Zheng, Yihao and Liu, Jinfei and Ren, Kui and Xiong, Li},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3749158},
url = {https://dl.acm.org/doi/10.1145/3749158},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,863 | Watermarking Relational Databases | 2002 | VLDB | 8.0202027e-05 |
| 5,381 | Rights Protection for Relational Data | 2003 | SIGMOD | 6.2397041e-05 |
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