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SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 10 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
USS
2010
13 years 6 months ago
SEPIA: Privacy-Preserving Aggregation of Multi-Domain Network Events and Statistics
Secure multiparty computation (MPC) allows joint privacy-preserving computations on data of multiple parties. Although MPC has been studied substantially, building solutions that ...
Martin Burkhart, Mario Strasser, Dilip Many, Xenof...
DMIN
2006
138views Data Mining» more  DMIN 2006»
13 years 10 months ago
Quantification of a Privacy Preserving Data Mining Transformation
Data mining, with its promise to extract valuable, previously unknown and potentially useful patterns or knowledge from large data sets that contain private information is vulnerab...
Mohammed Ketel
DMIN
2006
125views Data Mining» more  DMIN 2006»
13 years 10 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
ACSW
2004
13 years 10 months ago
A Framework for Privacy Preserving Classification in Data Mining
Nowadays organizations all over the world are dependent on mining gigantic datasets. These datasets typically contain delicate individual information, which inevitably gets expose...
Zahidul Islam, Ljiljana Brankovic