Daniel Bernau

According to our database, Daniel Bernau authored at least 12 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2022

Improved usability of differential privacy in machine learning: techniques for quantifying the privacy-accuracy trade-off.

Daniel Bernau

PhD thesis, 2022

Assessing Differentially Private Variational Autoencoders Under Membership Inference.

Daniel Bernau, Jonas Robl, Florian Kerschbaum

Proceedings of the Data and Applications Security and Privacy XXXVI, 2022

2021

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

Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum

Proc. VLDB Endow., 2021

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

Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum

CoRR, 2021

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

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

CoRR, 2021

Comparing Local and Central Differential Privacy Using Membership Inference Attacks.

Daniel Bernau, Jonas Robl, Philip-William Grassal, Steffen Schneider, Florian Kerschbaum

Proceedings of the Data and Applications Security and Privacy XXXV, 2021

2019

Monte Carlo and Reconstruction Membership Inference Attacks against Generative Models.

Benjamin Hilprecht, Martin Härterich, Daniel Bernau

Proc. Priv. Enhancing Technol., 2019

Assessing differentially private deep learning with Membership Inference.

Daniel Bernau, Philip-William Grassal, Jonas Robl, Florian Kerschbaum

CoRR, 2019

Reconstruction and Membership Inference Attacks against Generative Models.

Benjamin Hilprecht, Martin Härterich, Daniel Bernau

CoRR, 2019

2018

The influence of differential privacy on short term electric load forecasting.

Günther Eibl, Kaibin Bao, Philip-William Grassal, Daniel Bernau, Hartmut Schmeck

Energy Inform., 2018

2017

Privacy-Preserving Outlier Detection for Data Streams.

Jonas Böhler, Daniel Bernau, Florian Kerschbaum

Proceedings of the Data and Applications Security and Privacy XXXI, 2017

Selective access for supply chain management in the cloud.

Anselme Tueno, Florian Kerschbaum, Daniel Bernau, Sara Foresti

Proceedings of the 2017 IEEE Conference on Communications and Network Security, 2017