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pro vyhledávání: '"Askin, Önder"'
We present new methods for assessing the privacy guarantees of an algorithm with regard to R\'enyi Differential Privacy. To the best of our knowledge, this work is the first to address this problem in a black-box scenario, where only algorithmic outp
Externí odkaz:
http://arxiv.org/abs/2212.04739
In this work, we introduce a new approach for statistical quantification of differential privacy in a black box setting. We present estimators and confidence intervals for the optimal privacy parameter of a randomized algorithm $A$, as well as other
Externí odkaz:
http://arxiv.org/abs/2108.09528