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Checking for k-Anonymity Violation by Views

Summary: Formalizes k-anonymity disclosure over materialized views, including secret associations, rather than released base tables. Establishes general computational hardness, identifies polynomial subcases, and gives an efficient conservative violation checker. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9559
Venue
VLDB
Year
2005
Pagerank
7.0779843e-05
Overall Rank
3,845 | 73.63%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yao_vldb05,
        title = {{Checking for k-Anonymity Violation by Views}},
        author = {Yao, Chao and Wang, X. Sean and Jajodia, Sushil},
        journal = {PVLDB},
        series = {{VLDB} '05},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
572 Anatomy: Simple and Effective Privacy Preservation 2006 VLDB 0.00016316092
2,397 Personalized Privacy Preservation 2006 SIGMOD 8.6343421e-05
4,037 Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge 2007 VLDB 6.9431497e-05
12,545 Publishing Naive Bayesian Classifiers: Privacy without Accuracy Loss 2009 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
70 Privacy-Preserving Data Mining 2000 SIGMOD 0.0003804755
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
552 Extending Query Rewriting Techniques for Fine-Grained Access Control 2004 SIGMOD 0.00016630306
1,088 A Formal Analysis of Information Disclosure in Data Exchange 2004 SIGMOD 0.00012248135
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