35 search results - page 4 / 7 » A Framework for High-Accuracy Privacy-Preserving Mining |
SDM
2008
SIAM
13 years 7 months ago
2008
SIAM
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...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
Motivated by the insufficiency of the existing quasi-identifier/sensitiveattribute (QI-SA) framework on modeling real-world privacy requirements for data publishing, we propose ...
CIKM
2006
Springer
13 years 9 months ago
2006
Springer
Distributed privacy preserving data mining tools are critical for mining multiple databases with a minimum information disclosure. We present a framework including a general model...
SDM
2004
SIAM
13 years 7 months ago
2004
SIAM
Multivariate statistical analysis is an important data analysis technique that has found applications in various areas. In this paper, we study some multivariate statistical analy...
USS
2010
2010
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
13 years 3 months ago
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 ...