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Hiding the Presence of Individuals from Shared Databases

Summary: Delta-presence, a metric tying anonymization quality to the risk of confirming an individual's presence in shared data. Shows existing anonymization fails under delta-presence and proposes bounds-enforcing algorithms; validated on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3952
Venue
SIGMOD
Year
2007
Pagerank
6.6452861e-05
Overall Rank
4,526 | 68.95%
DOI
10.1145/1247480.1247554

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{nergiz_sigmod07,
        title = {{Hiding the Presence of Individuals from Shared Databases}},
        author = {Nergiz, M. Ercan and Atzori, Maurizio and Clifton, Christopher W.},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247554},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247554},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
450 Incognito: Efficient Full-Domain K-Anonymity 2005 SIGMOD 0.00018155142
572 Anatomy: Simple and Effective Privacy Preservation 2006 VLDB 0.00016316092
1,817 On k-Anonymity and the Curse of Dimensionality 2005 VLDB 9.6832973e-05
3,110 Achieving Anonymity via Clustering 2006 PODS 7.7477034e-05
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