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FOCS
2010
IEEE
13 years 9 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 11 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
14 years 5 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