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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
4176
Venue
SIGMOD
Year
2009
Pagerank
8.8595313e-05
Overall Rank
2,255 | 84.54%
DOI
10.1145/1559845.1559861

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Authors

BibTeX Citation

@inproceedings{kifer_sigmod09,
        title = {{Attacks on Privacy and deFinetti's Theorem}},
        author = {Kifer, Daniel},
        series = {{SIGMOD} '09},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1559845.1559861},
        url = {https://dl.acm.org/doi/10.1145/1559845.1559861},
        year = {2009}
}

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