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Daniel Bernau
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Assessing Differentially Private Variational Autoencoders under Membership Inference


Apr 16, 2022
Daniel Bernau, Jonas Robl, Florian Kerschbaum

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


Mar 05, 2021
Daniel Bernau, Günther Eibl, Philip W. Grassal, Hannah Keller, Florian Kerschbaum

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On the privacy-utility trade-off in differentially private hierarchical text classification


Mar 04, 2021
Dominik Wunderlich, Daniel Bernau, Francesco Aldà, Javier Parra-Arnau, Thorsten Strufe

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Assessing differentially private deep learning with Membership Inference


Jan 10, 2020
Daniel Bernau, Philip-William Grassal, Jonas Robl, Florian Kerschbaum

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Reconstruction and Membership Inference Attacks against Generative Models


Jun 07, 2019
Benjamin Hilprecht, Martin Härterich, Daniel Bernau

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