455 search results - page 3 / 91 » Differential Privacy in New Settings |
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ASIACRYPT
2011
Springer
13 years 9 months ago
2011
Springer
Differential Privacy (DP) has emerged as a formal, flexible framework for privacy protection, with a guarantee that is agnostic to auxiliary information and that admits simple ru...
CORR
2008
Springer
14 years 9 months ago
2008
Springer
In this note we give a precise formulation of "resistance to arbitrary side information" and show that several relaxations of differential privacy imply it. The formulat...
138
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FOCS
2010
IEEE
14 years 7 months ago
2010
IEEE
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...
STOC
2009
ACM
15 years 10 months ago
2009
ACM
We show by means of several examples that robust statistical estimators present an excellent starting point for differentially private estimators. Our algorithms use a new paradig...
ACISP
2007
Springer
15 years 1 months ago
2007
Springer
In this paper, we propose a new construction algorithm for finding differential paths of Round 1 of SHA-1 for use in the collision search attack. Generally, the differential path o...