Asymmetric distances for approximate differential privacy
Differential privacy is a widely studied notion of privacy for various models of computation, based on measuring differences between probability distributions. We consider (epsilon,delta)-differential privacy in the setting of labelled Markov chains. For a given epsilon, the parameter delta can be c...
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| Format: | Conference item |
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Schloss Dagstuhl - Leibniz-Zentrum für Informatik
2019
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