21 citations · 62 across the 11 of their papers we have counts for
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cs.LG2017
Differentially Private Mixture of Generative Neural Networks
Gergely Acs, Luca Melis, Claude Castelluccia +1
Generative models are used in a wide range of applications building on large amounts of contextually rich information. Due to possible privacy violations of the individuals whose d…
cs.CR2017★ 12 cited
LOGAN: Membership Inference Attacks Against Generative Models
Jamie Hayes, Luca Melis, George Danezis +1
Generative models estimate the underlying distribution of a dataset to generate realistic samples according to that distribution. In this paper, we present the first membership inf…