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Approximate Algorithms for k-Anonymity

Summary: Proposes approximation algorithms for k-anonymity in data publishing, addressing linking attacks on quasi-identifiers. Delivers O(log k)-approximation guarantees and O(beta log k)-time variants, outperforming O(k) and O(k log k) baselines; experiments show practical gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3902
Venue
SIGMOD
Year
2007
Pagerank
5.8416386e-05
Overall Rank
6,554 | 55.04%
DOI
10.1145/1247480.1247490

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{park_sigmod07,
        title = {{Approximate Algorithms for k-Anonymity}},
        author = {Park, Hyoungmin and Shim, Kyuseok},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247490},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247490},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
161 Mining Frequent Patterns without Candidate Generation 2000 SIGMOD 0.00027981772
338 Generalizing Data to Provide Anonymity when Disclosing Information 1998 PODS 0.00020731054
384 On the Complexity of Optimal K-Anonymity 2004 PODS 0.00019510305
450 Incognito: Efficient Full-Domain K-Anonymity 2005 SIGMOD 0.00018155142
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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