M. Sc. Felix Morsbach
- Doktorand
- Gruppe: Data Privacy
- Raum: 241, Geb. 50.34
- felix morsbach ∂does-not-exist.kit edu
More about Data Privacy.
Über den Wissenschaftler
Felix Morsbach ist Doktorand am Lehrstuhl für IT-Sicherheit des Karlsruher Instituts für Technologie (KIT). Er hat einen Hintergrund in Software-Engineering, eingebetteten Systemen und High-Performance-Computing. Seine aktuellen Forschungsinteressen liegen in der Privatheit von Verhaltensdaten, Privatheitsangriffen auf solche Daten und deren Anonymisierung. Dabei liegt sein Fokus auf Methoden des maschinellen Lernens.
Forschungsinteressen:
- Privacy of Behavioral Data
- Privacy Attacks
- Anonymizations
- Privacy-Preserving Machine Learning
- Membership Inference Attacks
- Technical Privacy Notions
Wenn du am KIT studierst und Interesse an einer Abschlussarbeit in einem der oben genannten Bereiche hast, melde dich gerne bei mir. Ich bin immer auf der Suche nach motivierten und interessierten Studierenden.
Betreute Abschlussarbeiten
| Titel | Qualifikation | Abschlussjahr |
|---|---|---|
| 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 |
Publikationen
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