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Minimizing Minimality and Maximizing Utility: Analyzing Method-based attacks on Anonymized Data

Summary: Comprehensively analyzes minimality attacks against anonymization methods, identifying unaffected algorithms and bounding belief gains for symmetric and highly susceptible schemes. Experiments show sensitive-value confidence remains low while data utility is preserved. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10339
Venue
VLDB
Year
2010
Pagerank
5.2634238e-05
Overall Rank
9,486 | 34.92%
DOI
10.14778/1920841.1920972

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cormode_vldb10,
        title = {{Minimizing Minimality and Maximizing Utility: Analyzing Method-based attacks on Anonymized Data}},
        author = {Cormode, Graham and Srivastava, Divesh and Li, Ninghui and Li, Tiancheng},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {1},
        pages = {1045--1056},
        doi = {10.14778/1920841.1920972},
        url = {https://doi.org/10.14778/1920841.1920972},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,326 Publishing Microdata with a Robust Privacy Guarantee 2012 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 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
1,295 Minimality Attack in Privacy Preserving Data Publishing 2007 VLDB 0.00011272398
2,255 Attacks on Privacy and deFinetti's Theorem 2009 SIGMOD 8.8595313e-05
12,506 Anonymized Data: Generation, Models, Usage 2009 SIGMOD 5.093636e-05
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