Towards the Use of Graph Summaries for Privacy Enhancing Release and Querying of Linked Data. - Benjamin Heitmann; Felix Hermsen; Stefan Decker (PrivOn@ISWC, 2016)

k - RDF-Neighbourhood Anonymity: Combining Structural and Attribute-based Anonymisation for Linked Data. - Benjamin Heitmann; Felix Hermsen; Stefan Decker (PrivOn@ISWC, 2017)

Towards Privacy-Preserving Machine Learning in Sovereign Data Spaces: Opportunities and Challenges. - Mehdi Akbari Gurabi; Felix Hermsen; Avikarsha Mandal; Stefan Decker (Privacy and Identity Management, 2023)

Privacy and Utility Evaluation of Synthetic Tabular Data for Machine Learning. - Felix Hermsen; Avikarsha Mandal (Privacy and Identity Management, 2023)

Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering. - Md. Rezaul Karim 001; Felix Hermsen; Sisay Adugna Chala; Paola de Perthuis; Avikarsha Mandal (CoRR, 2023)

On Data Spaces for Retrieval Augmented Generation. - Felix Hermsen; Lasse Nitz; Mehdi Akbari Gurabi; Roman Matzutt; Avikarsha Mandal (INFORMATIK, 2024)

Scalable Semi-Supervised Graph Learning Techniques for Anti Money Laundering. - Md. Rezaul Karim 001; Felix Hermsen; Sisay Adugna Chala; Paola de Perthuis; Avikarsha Mandal (IEEE Access, 2024)