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» From Data Privacy to Location Privacy: Models and Algorithms
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VLDB
2006
ACM
122views Database» more  VLDB 2006»
16 years 6 months ago
A secure distributed framework for achieving k-anonymity
k-anonymity provides a measure of privacy protection by preventing re-identification of data to fewer than a group of k data items. While algorithms exist for producing k-anonymous...
Wei Jiang, Chris Clifton
CIKM
2005
Springer
15 years 11 months ago
Privacy leakage in multi-relational databases via pattern based semi-supervised learning
In multi-relational databases, a view, which is a context- and content-dependent subset of one or more tables (or other views), is often used to preserve privacy by hiding sensiti...
Hui Xiong, Michael Steinbach, Vipin Kumar
INFOCOM
2007
IEEE
16 years 7 days ago
pDCS: Security and Privacy Support for Data-Centric Sensor Networks
—The demand for efficient data dissemination/access techniques to find the relevant data from within a sensor network has led to the development of data-centric sensor networks...
Min Shao, Sencun Zhu, Wensheng Zhang, Guohong Cao
SAC
2006
ACM
15 years 12 months ago
A privacy preserving web recommender system
In this paper we propose a recommender system that helps users to navigate though the Web by providing dynamically generated links to pages that have not yet been visited and are ...
Ranieri Baraglia, Claudio Lucchese, Salvatore Orla...
STOC
2009
ACM
167views Algorithms» more  STOC 2009»
16 years 6 months ago
Universally utility-maximizing privacy mechanisms
A mechanism for releasing information about a statistical database with sensitive data must resolve a trade-off between utility and privacy. Publishing fully accurate information ...
Arpita Ghosh, Tim Roughgarden, Mukund Sundararajan