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» A new scheme on privacy-preserving data classification
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SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 6 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny
INFOCOM
2012
IEEE
11 years 7 months ago
Location privacy preservation in collaborative spectrum sensing
—Collaborative spectrum sensing has been regarded as a promising approach to enable secondary users to detect primary users by exploiting spatial diversity. In this paper, we con...
Shuai Li, Haojin Zhu, Zhaoyu Gao, Xinping Guan, Ka...
NDSS
2005
IEEE
13 years 11 months ago
Privacy-Preserving Friends Troubleshooting Network
— Content sharing is a popular use of peer-to-peer systems because of their inherent scalability and low cost of maintenance. In this paper, we leverage this nature of peer-topee...
Qiang Huang, Helen J. Wang, Nikita Borisov
USS
2010
13 years 3 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. ...
CASCON
2004
129views Education» more  CASCON 2004»
13 years 6 months ago
Building predictors from vertically distributed data
Due in part to the large volume of data available today, but more importantly to privacy concerns, data are often distributed across institutional, geographical and organizational...
Sabine M. McConnell, David B. Skillicorn