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Forgot your password: Correlation dilution

2015
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2015 IEEE International Symposium on Information Theory (ISIT)
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To be considered for an 2015 IEEE Jack Keil Wolf ISIT Student Paper Award." We consider the problem of diluting common randomness from correlated observations by separated agents. This problem creates a new framework to study statistical privacy, in which a legitimate party, Alice, has access to a random variable X, whereas an attacker, Bob, has access to a random variable Y dependent on X drawn from a joint distribution pX,Y . Alice's goal is to produce a non-trivial function of her available

doi:10.1109/isit.2015.7282996
dblp:conf/isit/MakhdoumiCM15
fatcat:xdma4b55zvaztbddip7emnstei