108 citations · 191 across the 8 of their papers we have counts for
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cs.LG2019
Disparate Vulnerability to Membership Inference Attacks
Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin +2
A membership inference attack (MIA) against a machine-learning model enables an attacker to determine whether a given data record was part of the model's training data or not. In t…
cs.CR2019★ 40 cited
F-BLEAU: Fast Black-box Leakage Estimation
Giovanni Cherubin, Konstantinos Chatzikokolakis, Catuscia Palamidessi
We consider the problem of measuring how much a system reveals about its secret inputs. We work under the black-box setting: we assume no prior knowledge of the system's internals,…