Abstract accepted at Theory and Practice of Differential Privacy Workshop 2026.
Anneliese Riess’s abstract has been accepted for a poster presentation at the Theory and Practice of Differential Privacy Workshop 2026 in Boston, USA. She will present her work, “Optimal Conversion from Rényi Differential Privacy to f-Differential Privacy,” on Monday, June 1, 2026.
- Optimal Conversion from Renyi Differential Privacy to f-Differential Privacy
Anneliese Riess, Juan Felipe Gomez, Flavio du Pin Calmon, Julia A. Schnabel, Georgios Kaissis
(https://arxiv.org/pdf/2602.04562)
Julia A. Schnabel
Professor for Computational Imaging and AI in Medicine, Director of the Institute of Machine Learning in Biomedical Imaging
My research interests include machine/deep learning, nonlinear motion modeling, as well as multimodal and quantitative imaging, for cancer-, cardiac-, neuro- and perinatal imaging.
Anneliese Riess
Doctoral Researcher
My research interests include mathematical foundations of privacy preserving artificial intelligence.
Georgios Kaissis
Professor
His research concentrates on biomedical image analysis with a focus on next-generation privacy-preserving machine learning methods as well as probabilistic methods for the design and deployment of robust, secure, fair and transparent machine learning algorithms to medical imaging workflows.