Studying Privacy Aspects of Learned Knowledge Bases in the Context of Synthetic and Medical Data. - Xenia Heilmann; Daan Apeldoorn; Konstantin Strauch; Bertil Schmidt; Timm Lilienthal; Torsten Panholzer (GMDS, 2024)

Differentially Private Sum-Product Networks. - Xenia Heilmann; Mattia Cerrato; Ernst Althaus (ICML, 2024)

A Benchmark for Client-level Fairness in Federated Learning. - Xenia Heilmann; Luca Corbucci; Mattia Cerrato (EWAF, 2025)

Benefits of the Federation? Analyzing the Impact of Fair Federated Learning at the Client Level. - Luca Corbucci; Xenia Heilmann; Mattia Cerrato (FAccT, 2025)

FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation. - Xenia Heilmann; Luca Corbucci; Mattia Cerrato; Anna Monreale (CoRR, 2025)