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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
h9e56d8a97a3d736a
Venue
VLDB
Year
2005
Pagerank
6.8934823e-05
Overall Rank
3,942 | 73.58%
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
588 Anatomy: Simple and Effective Privacy Preservation 2006 VLDB 0.00015894454
2,462 Personalized Privacy Preservation 2006 SIGMOD 8.4116174e-05
4,150 Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge 2007 VLDB 6.762449e-05
12,884 Publishing Naive Bayesian Classifiers: Privacy without Accuracy Loss 2009 VLDB 4.9605343e-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
69 Privacy-Preserving Data Mining 2000 SIGMOD 0.00037815735
347 Generalizing Data to Provide Anonymity when Disclosing Information 1998 PODS 0.00020249479
406 On the Complexity of Optimal K-Anonymity 2004 PODS 0.00019009895
570 Extending Query Rewriting Techniques for Fine-Grained Access Control 2004 SIGMOD 0.00016201674
1,113 A Formal Analysis of Information Disclosure in Data Exchange 2004 SIGMOD 0.00011942006
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