TU Wien Informatics

Overview Professors Scientific Staff Administrative Staff Student Staff External Lecturers By Responsibilities By Committee By Name
Related
Guest Professors Honoraries Alumni (LinkedIn) #5qw

Philipp Normann

MSc

Research Areas

  • Cybersecurity, Machine Learning
Philipp Normann

Role

Contact

  • Towards Explaining Classification Models in Security with Sparse Autoencoders / Breuer, N. O., Linhardt, L., Normann, P., & Arp, D. (2026). Towards Explaining Classification Models in Security with Sparse Autoencoders. In 2026 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) (pp. 278–289). IEEE. https://doi.org/10.1109/EuroSPW72509.2026.00041
    Project: BREADS (2024–2030)
  • Chasing Shadows: Pitfalls in LLM Security Research / Jonathan Evertz, Risse, N., Neuer, N., Müller, A., Normann, P., Sapia, G., Gupta, S., Pape, D., Shaw, S., Srivastav, D., Wressnegger, C., Quiring, E., Eisenhofer, T., Arp, D., & Schönherr, L. (2026). Chasing Shadows: Pitfalls in LLM Security Research. In Proceedings 2026 Network and Distributed System Security Symposium. Network and Distributed System Security (NDSS) Symposium 2026, San Diego, CA, United States of America (the). Schloss Dagstuhl. https://doi.org/10.14722/ndss.2026.241749
    Project: BREADS (2024–2030)
  • Identifying Offline Metrics that Predict Online Impact: A Pragmatic Strategy for Real-World Recommender Systems / Wilm, T., & Normann, P. (2025). Identifying Offline Metrics that Predict Online Impact: A Pragmatic Strategy for Real-World Recommender Systems. In RecSys ’25: Proceedings of the Nineteenth ACM Conference on Recommender Systems (pp. 967–970). Association for Computing Machinery. https://doi.org/10.1145/3705328.3748111