30 search results - page 2 / 6 » Multi-party, Privacy-Preserving Distributed Data Mining Usin... |
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
ARGMAS
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. A framework, PISA, for conducting dialogues to resolve disputes concerning the correct categorisation of particular cases, is described. Unlike previous systems to conduc...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
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...
USS
2010
2010
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
13 years 2 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 ...
CIKM
2006
Springer
13 years 8 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...