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)
Incoming Non-self Citations Over Time
Authors
- 1. Hyoungmin Park (Seoul National University)
- 2. Kyuseok Shim (Seoul National University)
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)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,232 | Privacy-preserving Anonymization of Set-valued Data | 2008 | VLDB | 7.6179491e-05 |
| 9,001 | Dynamic Anonymization: Accurate Statistical Analysis with Privacy Preservation | 2008 | SIGMOD | 5.334788e-05 |
| 9,487 | Preservation of Proximity Privacy in Publishing Numerical Sensitive Data | 2008 | SIGMOD | 5.2634238e-05 |
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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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|---|---|---|---|---|
| 1 | 12,424 | Non-homogeneous Generalization in Privacy Preserving Data Publishing | 2010 | SIGMOD |
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| 3 | 7,875 | Privacy-Enhancing k-Anonymization of Customer Data | 2005 | PODS |
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| 5 | 450 | Incognito: Efficient Full-Domain K-Anonymity | 2005 | SIGMOD |
| 6 | 3,232 | Privacy-preserving Anonymization of Set-valued Data | 2008 | VLDB |
| 7 | 338 | Generalizing Data to Provide Anonymity when Disclosing Information | 1998 | PODS |
| 8 | 4,699 | Fast Data Anonymization with Low Information Loss | 2007 | VLDB |
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| 10 | 384 | On the Complexity of Optimal K-Anonymity | 2004 | PODS |