Non-homogeneous Generalization in Privacy Preserving Data Publishing

Summary: Proposes non-homogeneous generalization for k-anonymity, reducing utility loss by varying quasi-identifiers inside partitions. Offers verification, a randomized defense against algorithm-aware attacks, and a partitioning technique that boosts data utility. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h98da1cab297ae10b
Venue: SIGMOD
Year: 2010
Pagerank: 4.9793485e-05
Overall Rank: 12,715 | 14.52%
DOI: 10.1145/1807167.1807248

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. W. K. Wong (University of Hong Kong)
2. Nikos Mamoulis (University of Hong Kong)
3. David W. Cheung (University of Hong Kong)

BibTeX Citation

@inproceedings{wong_sigmod10,
        title = {{Non-homogeneous Generalization in Privacy Preserving Data Publishing}},
        author = {Wong, W. K. and Mamoulis, Nikos and Cheung, David W.},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807248},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807248},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
68	Privacy-Preserving Data Mining	2000	SIGMOD	0.00037958605
404	On the Complexity of Optimal K-Anonymity	2004	PODS	0.00019081867
469	Incognito: Efficient Full-Domain K-Anonymity	2005	SIGMOD	0.0001775622
584	Anatomy: Simple and Effective Privacy Preservation	2006	VLDB	0.00015954725
1,020	m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets	2007	SIGMOD	0.00012443542
1,323	Minimality Attack in Privacy Preserving Data Publishing	2007	VLDB	0.00011028542
1,768	The New Casper: Query Processing for Location Services without Compromising Privacy	2006	VLDB	9.6873901e-05
2,296	Attacks on Privacy and deFinetti's Theorem	2009	SIGMOD	8.6789249e-05
4,651	Deriving Private Information from Randomized Data	2005	SIGMOD	6.4857639e-05
4,802	Fast Data Anonymization with Low Information Loss	2007	VLDB	6.4095862e-05
7,788	K-Anonymization as Spatial Indexing: Toward Scalable and Incremental Anonymization	2007	VLDB	5.4526034e-05

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2	12,617	Publishing Microdata with a Robust Privacy Guarantee	2012	VLDB
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5	8,041	Privacy-Enhancing k-Anonymization of Customer Data	2005	PODS
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7	3,165	Achieving Anonymity via Clustering	2006	PODS
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10	347	Generalizing Data to Provide Anonymity when Disclosing Information	1998	PODS