Title
Optimal Differentially Private Mechanisms for Randomised Response.
Abstract
We examine a generalised randomised response (RR) technique in the context of differential privacy and examine the optimality of such mechanisms. Strict and relaxed differential privacy are considered for binary outputs. By examining the error of a statistical estimator, we present closed solutions for the optimal mechanism(s) in both cases. The optimal mechanism is also given for the specific cas...
Year
DOI
Venue
2017
10.1109/TIFS.2017.2718487
IEEE Transactions on Information Forensics and Security
Keywords
DocType
Volume
Privacy,Data privacy,Computational modeling,Mathematical model,Sociology,Maximum likelihood estimation
Journal
12
Issue
ISSN
Citations 
11
1556-6013
1
PageRank 
References 
Authors
0.35
0
3
Name
Order
Citations
PageRank
Naoise Holohan131.05
Douglas J. Leith21332116.75
Oliver Mason310712.58