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» Privacy Preserving Collaborative Data Mining
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SIGMOD
2010
ACM
274views Database» more  SIGMOD 2010»
14 years 1 months ago
K-isomorphism: privacy preserving network publication against structural attacks
Serious concerns on privacy protection in social networks have been raised in recent years; however, research in this area is still in its infancy. The problem is challenging due ...
James Cheng, Ada Wai-Chee Fu, Jia Liu
AUSDM
2006
Springer
157views Data Mining» more  AUSDM 2006»
14 years 10 days ago
Safely Delegating Data Mining Tasks
Data mining is playing an important role in decision making for business activities and governmental administration. Since many organizations or their divisions do not possess the...
Ling Qiu, Kok-Leong Ong, Siu Man Lui
USS
2010
13 years 6 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
SDM
2009
SIAM
331views Data Mining» more  SDM 2009»
14 years 5 months ago
Privacy Preservation in Social Networks with Sensitive Edge Weights.
With the development of emerging social networks, such as Facebook and MySpace, security and privacy threats arising from social network analysis bring a risk of disclosure of con...
Jie Wang, Jinze Liu, Jun Zhang, Lian Liu
ASIACRYPT
2005
Springer
14 years 2 months ago
Privacy-Preserving Graph Algorithms in the Semi-honest Model
Abstract. We consider scenarios in which two parties, each in possession of a graph, wish to compute some algorithm on their joint graph in a privacy-preserving manner, that is, wi...
Justin Brickell, Vitaly Shmatikov