PrivML Research Group

This page provides an overview on current activities of the PrivML research group I am coordinating. The topics are mainly (but not exclusively) centered around privacy-preserving machine learning.

Currently ongoing theses

C. MüllerMasterPersonalized Differential Privacy
W. GuBachelorDifferential Private Synthetic Data Generation
T. KänelBachelorPractical Evaluation of Neural Network Watermarking
J. IhringMasterPrivacy Quantification Methods
O. BouananiBachelorNeural Network Architectural Choices for Privacy
D. WangBachelorNovel Methods for Neural Network Watermarking
D. SosnovchykBachelorSynthetic Data Privacy Evaluation

Past theses

StudentProgramThesis Title
M. KrügerBachelorApplication and Evaluation of Differential Privacy in Health Data Classification Tasks

Open topics

Currently, the following topics are available:

For a concrete description of the topics, please get in touch.