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FOCS
2010
IEEE
13 years 2 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
IJNSEC
2006
71views more  IJNSEC 2006»
13 years 4 months ago
Fundamental Limits on a Model of Privacy-Trust Tradeoff: Information Theoretic Approach
Zhong et al. formulated the problem of disclosing credentials (associated with privacy) for building trust in an open environment like Internet. Thus, one form of privacy-trust pr...
Rama Murthy Garimella
IAT
2007
IEEE
13 years 11 months ago
Privacy Loss in Classical Multiagent Planning
Privacy is often cited as the main reason to adopt a multiagent approach for a certain problem. This also holds true for multiagent planning. Still, papers on multiagent planning ...
Roman van der Krogt