Quantifying identifiability to choose and audit $\epsilon$ in differentially private deep learning

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Authors: Bernau, Daniel; Eibl, Günther; Grassal, Philip W.; Keller, Hannah; Kerschbaum, Florian

Journal title: Proceedings of the VLDB Endowment

Journal number: 4

Journal publisher: VLDB Endowment

Published year: 2021

DOI identifier: 10.14778/3484224.3484231

ISSN: 2150-8097