M. Sc. Felix Morsbach
- PhD student
- Group: Data Privacy
- Room: 241, Geb. 50.34
- felix morsbach ∂does-not-exist.kit edu
More about Data Privacy.
About the Scientist
Felix Morsbach is a Ph.D. student at the chair of Privacy and Security at KIT. He has a background in software engineering, embedded systems, and high-performance computing. His current research interests include the privacy of behavioral data, privacy attacks on such data types, and their anonymization. He focuses on machine learning-based methods.
Research interests:
- Privacy of Behavioral Data
- Privacy Attacks
- Anonymizations
- Privacy-Preserving Machine Learning
- Membership Inference Attacks
- Technical Privacy Notions
If you are a KIT student interested in writing your bachelor's or master's thesis on one of the above topics, please feel free to contact me. I am always looking for motivated students.
Supervised theses
| Title | Qualification | Graduation year |
|---|---|---|
| Evaluation von Privacy Threat Modeling Frameworks am Fall der elektronischen Patientenakte | Master | 2026 |
| Evaluating Privacy Threats of Synthetic Click Traces via Membership Inference Attacks | Master | 2026 |
| The Privacy-Utility Trade-Off of Synthetic Click Trace Generation | Master | 2025 |
| Evaluating De-Identification of Sleep Data to Integrate Machine Learning into a Data Trustee | Master | 2024 |
| BFId: Identity Inference Attacks utilizing Beamforming Feedback Information | Master | 2024 |
| Streamlining Membership Inference Attack Research by Reusing Shadow Models | Bachlor | 2024 |
| De-Identification of Health Data in a Data Trustee for Sleep Research | Bachlor | 2024 |
| Influence of Convolutional Neural Network Architectures on Membership Inference Attacks | Master | 2023 |
| Inferring Personal Attributes with a Mmwave Radar | Master | 2023 |
| Privacy Benefits of Depth Cameras? Synthesizing RGB Images from Depth Maps | Bachlor | 2023 |
| Evaluation of Countermeasures to Machine Learning Model Extraction | Master | 2022 |
| Comparision of Existing Security Ontologies for Use in a Security Assistant | Bachlor | 2022 |
| Charakterisierung von Privileged Access Management-Funktionen | Bachlor | 2021 |
Publications
BFId: Identity Inference Attacks Utilizing Beamforming Feedback Information
Todt, J.; Morsbach, F.; Strufe, T.
2025. Proceedings of 32nd ACM SIGSAC Conference on Computer and Communications Security (CCS ’25), Taipei, October 13–17, 2025, Association for Computing Machinery (ACM). doi:10.1145/3719027.3765062
Todt, J.; Morsbach, F.; Strufe, T.
2025. Proceedings of 32nd ACM SIGSAC Conference on Computer and Communications Security (CCS ’25), Taipei, October 13–17, 2025, Association for Computing Machinery (ACM). doi:10.1145/3719027.3765062
PETs and AI: Privacy Washing and the Need for a PETs Evaluation Framework (Dagstuhl Seminar 25112)
Cristofaro, E. De; Shrishak, K.; Strufe, T.; Troncoso, C.; Morsbach, F.
2025. Dagstuhl Reports, 15 (3), 77–93. doi:10.4230/DagRep.15.3.77
Cristofaro, E. De; Shrishak, K.; Strufe, T.; Troncoso, C.; Morsbach, F.
2025. Dagstuhl Reports, 15 (3), 77–93. doi:10.4230/DagRep.15.3.77
Practitioner Motives to Use Different Hyperparameter Optimization Methods
Kannengiesser, N.; Hasebrook, N.; Morsbach, F.; Zöller, M.-A.; Franke, J. K. H.; Lindauer, M.; Hutter, F.; Sunyaev, A.
2025. ACM Transactions on Computer-Human Interaction. doi:10.1145/3745771
Kannengiesser, N.; Hasebrook, N.; Morsbach, F.; Zöller, M.-A.; Franke, J. K. H.; Lindauer, M.; Hutter, F.; Sunyaev, A.
2025. ACM Transactions on Computer-Human Interaction. doi:10.1145/3745771
R+R: Understanding Hyperparameter Effects in DP-SGD
Morsbach, F.; Reubold, J. L.; Strufe, T.
2024. 40th Annual Computer Security Applications Conference (ACSAC), Honolulu, HI, USA, 09-13 December 2024, 1217–1230, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ACSAC63791.2024.00097
Morsbach, F.; Reubold, J. L.; Strufe, T.
2024. 40th Annual Computer Security Applications Conference (ACSAC), Honolulu, HI, USA, 09-13 December 2024, 1217–1230, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ACSAC63791.2024.00097
Human-Centered Design for Data-Sparse Tailored Privacy Information Provision
Goram, M.; Dehling, T.; Morsbach, F.; Sunyaev, A.
2023. Human Factors in Privacy Research. Ed.: N. Gerber, 283–298, Springer International Publishing. doi:10.1007/978-3-031-28643-8_14
Goram, M.; Dehling, T.; Morsbach, F.; Sunyaev, A.
2023. Human Factors in Privacy Research. Ed.: N. Gerber, 283–298, Springer International Publishing. doi:10.1007/978-3-031-28643-8_14
Architecture Matters: Investigating the Influence of Differential Privacy on Neural Network Design
Morsbach, F.; Dehling, T.; Sunyaev, A.
2021. Presented at NeurIPS 2021 Workshop on Privacy in Machine Learning (PriML 2021), 14.12.2021. doi:10.48550/arXiv.2111.14924
Morsbach, F.; Dehling, T.; Sunyaev, A.
2021. Presented at NeurIPS 2021 Workshop on Privacy in Machine Learning (PriML 2021), 14.12.2021. doi:10.48550/arXiv.2111.14924
DecFL: An Ubiquitous Decentralized Model Training Protocol and Framework Empowered by Blockchain
Morsbach, F.; Toor, S.
2021. BSCI ’21: Proceedings of the 3rd ACM International Symposium on Blockchain and Secure Critical Infrastructure, 61–68, Association for Computing Machinery (ACM). doi:10.1145/3457337.3457842
Morsbach, F.; Toor, S.
2021. BSCI ’21: Proceedings of the 3rd ACM International Symposium on Blockchain and Secure Critical Infrastructure, 61–68, Association for Computing Machinery (ACM). doi:10.1145/3457337.3457842