معرفی
Rudolf Mayer is an Lecturer at the School of Logic and Computation and School of Information Systems Engineering at Vienna University of Technology. He is affiliated with the university through his roles in teaching and research, focusing on Machine Learning, Digital Preservation, and Privacy-Preserving Data Analysis. His work spans both academic research and applied projects, with a strong emphasis on collaborative and secure data management.
His research interests include Machine Learning, Privacy-Preserving Techniques, Digital Preservation, and Music Information Retrieval. Over his career, Mayer has contributed to
- Developing frameworks for digital preservation of scientific and business processes
- Advancing privacy-preserving data analysis through platforms like WellFort
- Exploring adversarial machine learning and model stealing attacks
- Integrating semantic web technologies into data management systems
His publications highlight trends in collaborative cybersecurity, model robustness, and digital archiving with applications in federated learning, self-organizing maps, and music analysis.
Mayer has supervised 15+ graduate students, covering topics such as adversarial attacks, model watermarking, and privacy-preserving anomaly detection. Notable projects he has been involved in include the NEWSROOM initiative for cybersecurity automation, the Research Studio Digital Memory Engineering, and contributions to the PLANETS project for long-term digital access.
