112 search results - page 2 / 23 » Distributed Privacy-Preserving Methods for Statistical Discl... |
SDM
2007
SIAM
13 years 7 months ago
2007
SIAM
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
DMIN
2006
13 years 7 months ago
2006
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
DASFAA
2004
IEEE
13 years 9 months ago
2004
IEEE
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
SSDBM
2002
IEEE
13 years 10 months ago
2002
IEEE
Statistical database protection is a part of information security which tries to prevent published statistical information (tables, individual records) from disclosing the contrib...
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...