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» A Condensation Approach to Privacy Preserving Data Mining
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NCA
2011
IEEE
13 years 3 months ago
Privacy preserving Back-propagation neural network learning over arbitrarily partitioned data
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
Ankur Bansal, Tingting Chen, Sheng Zhong
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 6 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
AISADM
2007
Springer
14 years 3 months ago
Peer-to-Peer Data Mining, Privacy Issues, and Games
Peer-to-Peer (P2P) networks are gaining increasing popularity in many distributed applications such as file-sharing, network storage, web caching, searching and indexing of releva...
Kanishka Bhaduri, Kamalika Das, Hillol Kargupta