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» Anonymizing Temporal Data
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CCS
2010
ACM
13 years 11 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...
KDD
2008
ACM
202views Data Mining» more  KDD 2008»
14 years 8 months ago
Data and Structural k-Anonymity in Social Networks
The advent of social network sites in the last years seems to be a trend that will likely continue. What naive technology users may not realize is that the information they provide...
Alina Campan, Traian Marius Truta
ICDE
2009
IEEE
1081views Database» more  ICDE 2009»
15 years 7 months ago
Modeling and Integrating Background Knowledge in Data Anonymization
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult for the d...
Tiancheng Li, Ninghui Li, Jian Zhang
CIKM
2010
Springer
13 years 5 months ago
Anonymizing data with quasi-sensitive attribute values
We study the problem of anonymizing data with quasi-sensitive attributes. Quasi-sensitive attributes are not sensitive by themselves, but certain values or their combinations may ...
Pu Shi, Li Xiong, Benjamin C. M. Fung
TKDE
2011
472views more  TKDE 2011»
13 years 2 months ago
Anonymous Publication of Sensitive Transactional Data
Abstract—Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as k-...
Gabriel Ghinita, Panos Kalnis, Yufei Tao