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» Privacy-preserving data integration and sharing
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KDD
2004
ACM
159views Data Mining» more  KDD 2004»
14 years 22 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
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 8 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
DMIN
2009
180views Data Mining» more  DMIN 2009»
13 years 5 months ago
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...
IEEEARES
2008
IEEE
14 years 1 months ago
haplog: A Hash-Only and Privacy-Preserved Secure Logging Mechanism
A secure logging mechanism named haplog is proposed. In essence, haplog uses only one-way hash functions to achieve the security and functional requirements of logging. This makes...
Chih-Yin Lin
SIGMOD
2010
ACM
243views Database» more  SIGMOD 2010»
13 years 7 months ago
Non-homogeneous generalization in privacy preserving data publishing
Most previous research on privacy-preserving data publishing, based on the k-anonymity model, has followed the simplistic approach of homogeneously giving the same generalized val...
Wai Kit Wong, Nikos Mamoulis, David Wai-Lok Cheung