Optimal Obfuscation Mechanisms via Machine Learning

Marco Romanelli, Konstantinos Chatzikokolakis, Catuscia Palamidessi

We consider the problem of obfuscating sensitive information while preserving utility, and we propose a machine learning approach inspired by the generative adversarial networks pa…