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Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge

Summary: General framework for privacy with external knowledge; introduces a multidimensional adversary knowledge model. A more intuitive, flexible multidimensional privacy criterion; enables faster disclosure measurement and data sanitization. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9629
Venue
VLDB
Year
2007
Pagerank
6.1188233e-05
Overall Rank
4,512 | 68.65%
DOI
-

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Showing 7 of 7 cited papers.

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

Rank Cited Paper Year Venue Pagerank
458 Incognito: Efficient Full-Domain K-Anonymity 2005 SIGMOD 0.00022698513
654 Anatomy: Simple and Effective Privacy Preservation 2006 VLDB 0.00018594644
1,082 A Formal Analysis of Information Disclosure in Data Exchange 2004 SIGMOD 0.00014196516
1,639 Injecting Utility into Anonymized Datasets 2006 SIGMOD 0.00011049413
2,656 Personalized Privacy Preservation 2006 SIGMOD 8.3636527e-05
3,786 Checking for k-Anonymity Violation by Views 2005 VLDB 6.7652896e-05
4,569 On the Efficiency of Checking Perfect Privacy 2006 PODS 6.0721066e-05
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