455 search results - page 3 / 91 » Differential Privacy in New Settings |
ASIACRYPT
2011
Springer
12 years 5 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
13 years 5 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...
FOCS
2010
IEEE
13 years 3 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
14 years 6 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
13 years 9 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...