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ICDE
2006
IEEE
176views Database» more  ICDE 2006»
14 years 1 days ago
Deriving Private Information from Perturbed Data Using IQR Based Approach
Several randomized techniques have been proposed for privacy preserving data mining of continuous data. These approaches generally attempt to hide the sensitive data by randomly m...
Songtao Guo, Xintao Wu, Yingjiu Li
ICDE
2007
IEEE
198views Database» more  ICDE 2007»
14 years 7 months ago
Worst-Case Background Knowledge for Privacy-Preserving Data Publishing
Recent work has shown the necessity of considering an attacker's background knowledge when reasoning about privacy in data publishing. However, in practice, the data publishe...
David J. Martin, Daniel Kifer, Ashwin Machanavajjh...
CCS
2010
ACM
13 years 5 months ago
Protecting location privacy against inference attacks
GPS-enabled mobile devices are a quickly growing market and users are starting to share their location information with each other through services such as Google Latitude. Locati...
Kazuhiro Minami, Nikita Borisov
CONEXT
2009
ACM
13 years 7 months ago
StarClique: guaranteeing user privacy in social networks against intersection attacks
Building on the popularity of online social networks (OSNs) such as Facebook, social content-sharing applications allow users to form communities around shared interests. Millions...
Krishna P. N. Puttaswamy, Alessandra Sala, Ben Y. ...
VLDB
2007
ACM
115views Database» more  VLDB 2007»
14 years 3 days ago
The Boundary Between Privacy and Utility in Data Publishing
We consider the privacy problem in data publishing: given a database instance containing sensitive information “anonymize” it to obtain a view such that, on one hand attackers...
Vibhor Rastogi, Sungho Hong, Dan Suciu