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» Anonymity for continuous data publishing
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EDBT
2008
ACM
154views Database» more  EDBT 2008»
14 years 5 months ago
Anonymity for continuous data publishing
k-anonymization is an important privacy protection mechanism in data publishing. While there has been a great deal of work in recent years, almost all considered a single static r...
Benjamin C. M. Fung, Ke Wang, Ada Wai-Chee Fu, Jia...
VLDB
2007
ACM
115views Database» more  VLDB 2007»
13 years 11 months 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
CCS
2010
ACM
13 years 8 months ago
Towards publishing recommendation data with predictive anonymization
Recommender systems are used to predict user preferences for products or services. In order to seek better prediction techniques, data owners of recommender systems such as Netfli...
Chih-Cheng Chang, Brian Thompson, Hui (Wendy) Wang...
EDBT
2009
ACM
122views Database» more  EDBT 2009»
13 years 9 months ago
Hiding distinguished ones into crowd: privacy-preserving publishing data with outliers
Publishing microdata raises concerns of individual privacy. When there exist outlier records in the microdata, the distinguishability of the outliers enables their privacy to be e...
Hui (Wendy) Wang, Ruilin Liu
SDM
2007
SIAM
204views Data Mining» more  SDM 2007»
13 years 6 months ago
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Meh...