Florian Werner Hahn

Florian Werner Hahn is an Assistant Professor specializing in Artificial Intelligence, Cybersecurity, and Privacy-Preserving Computation, with a focus on areas like Homomorphic Encryption, Biometric Template Protection, and Searchable Symmetric Encryption. His research explores secure protocols for data aggregation, attack modeling, and privacy-preserving machine learning techniques.

• Department: Semantics, Cybersecurity & Services
• ORCID: 0000-0003-4049-5354

Research Interests
Dr. Hahn's work addresses critical challenges in privacy-preserving technologies, including secure biometric authentication, encrypted data analytics, and vulnerability assessment of machine learning models. His studies on Membership Inference Attacks and Secure Shuffling advance the understanding of data leakage risks and mitigation strategies.

Scientific Awards
Recipient of the Dutch Cyber Security Best Research Paper (DCSRP) award 2024 in the multidisciplinary track, recognizing his contributions to balancing user privacy with practical system expectations.

Collaborations
Active in external collaborations across countries, working with researchers like Peter, A., Damie, M., and Veldhuis, R. to develop secure protocols for biometric systems and clustering algorithms.