I'm a computer scientist and privacy researcher at SAP in Karlsruhe, Germany. I hold a pan-european EIT master's degree from Technical University of Berlin and Université de Rennes 1, and a bachelor's degree from the University of Applied Sciences Ludwigshafen am Rhein. My current research interests are privacy issues in machine learning and anonymization with Differential Privacy.
B. Hilprecht, M. Haerterich, D. Bernau
Monte Carlo and Reconstruction Attacks against Generative Models
Privacy Enhancing Technologies Symposium (PETS), 2019.
G. Eibl, K. Bao, P. Grassal, D.Bernau, H. Schmeck
The influence of Differential Privacy on short term electric load forecasting
7th DACH+ Conference on Energy Informatics, 2018.
J. Boehler, D. Bernau, F. Kerschbaum
Privacy-Preserving Outlier Detection for Data Streams
31st IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSEC), 2017.
CAST-Workshop hot topic: Kuenstliche Intelligenz und IT-Sicherheit, 2019
Talk: Quantifying and mitigating model leakage in deep learning with membership inference and differential privacy
SAP TechEd, 2019.
Talk: Enabling Privacy-Preserving Enterprise Applications
SAP Security Expert Summit, 2019.
Talk: Quantifying model leakage in deep learning with membership inference attacks
University of Applied Sciences Ludwigshafen, 2019.
Lecturer for Security and Privacy
SAP TechEd, 2018.
Talk: Data anonymization: unlocking the value in personal data