38 search results - page 1 / 8 » Two-Party Computation Model for Privacy-Preserving Queries o... |
NDSS
2009
IEEE
13 years 11 months ago
2009
IEEE
Many existing privacy-preserving techniques for querying distributed databases of sensitive information do not scale for large databases due to the use of heavyweight cryptographi...
SIGMOD
2012
ACM
11 years 7 months ago
2012
ACM
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
ICDCS
2011
IEEE
12 years 4 months ago
2011
IEEE
— In the emerging cloud computing paradigm, data owners become increasingly motivated to outsource their complex data management systems from local sites to the commercial public...
SDM
2008
SIAM
13 years 6 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...
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 ...