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News/Rethinking Anonymity Claims in Synthetic Data Generation: A Model-Centric Privacy Attack Perspective
arxiv
PublishedOctober 3, 2026 at 4:00 AM
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Rethinking Anonymity Claims in Synthetic Data Generation: A Model-Centric Privacy Attack Perspective

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arXiv:2601.22434v2 Announce Type: replace-cross Abstract: Training generative machine learning models to produce synthetic tabular data has become a popular approach for enhancing privacy in data sharing. As this typically involves processing sensitive personal information, releasing either the trai

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