Abstract | ||
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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 |
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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 |
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Naoise Holohan | 1 | 3 | 1.05 |
Douglas J. Leith | 2 | 1332 | 116.75 |
Oliver Mason | 3 | 107 | 12.58 |