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m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets

Summary: Proposes m-Invariance, a generalization for privacy-preserving re-publication of dynamic data. Shows k-anonymity/l-diversity fail for updates; presents an algorithm to compute privacy-guarded relations for accurate aggregates, validated on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3954
Venue
SIGMOD
Year
2007
Pagerank
0.00012684067
Overall Rank
1,010 | 93.08%
DOI
10.1145/1247480.1247556

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{xiao_sigmod07,
        title = {{m-Invariance: Towards Privacy Preserving Re-publication of Dynamic Datasets}},
        author = {Xiao, Xiaokui and Tao, Yufei},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247556},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247556},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
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
572 Anatomy: Simple and Effective Privacy Preservation 2006 VLDB 0.00016316092
1,669 Injecting Utility into Anonymized Datasets 2006 SIGMOD 0.00010050522
1,817 On k-Anonymity and the Curse of Dimensionality 2005 VLDB 9.6832973e-05
2,397 Personalized Privacy Preservation 2006 SIGMOD 8.6343421e-05
3,110 Achieving Anonymity via Clustering 2006 PODS 7.7477034e-05
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