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Attacks on Privacy and deFinetti's Theorem

Summary: Exchangeability and deFinetti's theorem for privacy reasoning. Practical attack on Anatomy and similar sanitizers (random-worlds/iid/tuple-independent); needs only one non-sensitive attribute and a trained model, exposing flaws in prior disclosure probabilities. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4114
Venue
SIGMOD
Year
2009
Pagerank
8.8811954e-05
Overall Rank
2,406 | 83.27%
DOI
-

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