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KDD
2004
ACM
159views Data Mining» more  KDD 2004»
14 years 25 days ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
ETRICS
2006
13 years 11 months ago
Privacy-Preserving Decision Tree Mining Based on Random Substitutions
Privacy-preserving decision tree mining is an important problem that has yet to be thoroughly understood. In fact, the privacypreserving decision tree mining method explored in the...
Jim Dowd, Shouhuai Xu, Weining Zhang
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 7 months ago
Transforming data to satisfy privacy constraints
Data on individuals and entities are being collected widely. These data can contain information that explicitly identifies the individual (e.g., social security number). Data can ...
Vijay S. Iyengar
SDM
2007
SIAM
190views Data Mining» more  SDM 2007»
13 years 9 months ago
AC-Framework for Privacy-Preserving Collaboration
The secure multi-party computation (SMC) model provides means for balancing the use and confidentiality of distributed data. Increasing security concerns have led to a surge in w...
Wei Jiang, Chris Clifton
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 9 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