AI RESEARCH
Robust Spectral Watermark for Synthetic Tabular Data
arXiv CS.LG
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ArXi:2511.21600v2 Announce Type: replace-cross The rise of generative AI has enabled the production of high-fidelity synthetic tabular data across fields such as healthcare, finance, and public policy, raising growing concerns about data provenance and misuse.