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ICISC
2004
173views Cryptology» more  ICISC 2004»
13 years 6 months ago
On Private Scalar Product Computation for Privacy-Preserving Data Mining
In mining and integrating data from multiple sources, there are many privacy and security issues. In several different contexts, the security of the full privacy-preserving data mi...
Bart Goethals, Sven Laur, Helger Lipmaa, Taneli Mi...
SDM
2008
SIAM
135views Data Mining» more  SDM 2008»
13 years 6 months ago
Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining
Currently, many privacy-preserving data mining (PPDM) algorithms assume the semi-honest model and/or malicious model of multi-party interaction. However, both models are far from ...
Shuguo Han, Wee Keong Ng
AUSDM
2007
Springer
165views Data Mining» more  AUSDM 2007»
13 years 9 months ago
A New Efficient Privacy-Preserving Scalar Product Protocol
Recently, privacy issues have become important in data analysis, especially when data is horizontally partitioned over several parties. In data mining, the data is typically repre...
Artak Amirbekyan, Vladimir Estivill-Castro
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
ISI
2007
Springer
13 years 4 months ago
Privacy Preserving Collaborative Data Mining
Privacy-preserving data mining is an important issue in the areas of data mining and security. In this paper, we study how to conduct association rule mining, one of the core data...
Justin Z. Zhan