nyidifferentialprivacy
Rényi Differential Privacyof Propose-Test-Releaseand Applicationsto Privateand Robust Machine Learning
N ( )= p 2 log ( 1.25/ ), andobeys( ," Suppose GSf1 = GSf2 =1 and 1 = 2/ , then Algorithm 1 is(" N ( )= 1 p 2 log ( 1.25/ ).
Differentially Private Markov Chain Monte Carlo
Mikko Heikkilä, Joonas Jälkö, Onur Dikmen, Antti Honkela
Our algorithm is based on a decomposition of the Barker acceptance test that allows evaluating the Rényi DP privacy cost of the acceptreject choice.