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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
9628
Venue
VLDB
Year
2007
Pagerank
6.1270304e-05
Overall Rank
4,509 | 68.64%
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
455 Incognito: Efficient Full-Domain K-Anonymity 2005 SIGMOD 0.00022717354
654 Anatomy: Simple and Effective Privacy Preservation 2006 VLDB 0.00018613167
1,083 A Formal Analysis of Information Disclosure in Data Exchange 2004 SIGMOD 0.00014210752
1,633 Injecting Utility into Anonymized Datasets 2006 SIGMOD 0.00011060784
2,682 Personalized Privacy Preservation 2006 SIGMOD 8.3202837e-05
3,785 Checking for k-Anonymity Violation by Views 2005 VLDB 6.7690512e-05
4,570 On the Efficiency of Checking Perfect Privacy 2006 PODS 6.0780779e-05
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