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» On privacy preservation against adversarial data mining
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ICDE
2008
IEEE
161views Database» more  ICDE 2008»
14 years 6 months ago
Preserving Privacy in Social Networks Against Neighborhood Attacks
Recently, as more and more social network data has been published in one way or another, preserving privacy in publishing social network data becomes an important concern. With som...
Bin Zhou 0002, Jian Pei
ICDE
2009
IEEE
1081views Database» more  ICDE 2009»
15 years 5 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
ICDE
2008
IEEE
498views Database» more  ICDE 2008»
15 years 5 months ago
Injector: Mining Background Knowledge for Data Anonymization
Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
Tiancheng Li, Ninghui Li
PDCAT
2007
Springer
13 years 11 months ago
Privacy Preserving Set Intersection Protocol Secure against Malicious Behaviors
When datasets are distributed on different sources, finding out their intersection while preserving the privacy of the datasets is a widely required task. In this paper, we addre...
Yingpeng Sang, Hong Shen
SDM
2007
SIAM
190views Data Mining» more  SDM 2007»
13 years 6 months ago
AC-Framework for Privacy-Preserving Collaboration
The secure multi-party computation (SMC) model provides means for balancing the use and confidentiality of distributed data. Increasing security concerns have led to a surge in w...
Wei Jiang, Chris Clifton