Linda Scheu-Hachtel
PhD Student
University of Mannheim
School of Business Informatics and Mathematics
B6, 26 – Room B 2.04
68159 Mannheim
School of Business Informatics and Mathematics
B6, 26 – Room B 2.04
68159 Mannheim
Supervised Courses
- Formal Foundations of Computer Science
- Algorithms and Data Structues
- Kryptographie I
- Cryptography
- Algorithmics
- Theoretical Computer Science
- Bachelor/
Master Seminar
Scientific Publications
- Linda Scheu-Hachtel and Jasmin Zalonis. “Fully Encrypted Machine Learning Training Using Function-Hiding Functional Encryption.” International Conference on Applied Cryptography and Network Security. 2026.
- Jasmin Zalonis, Linda Scheu-Hachtel, and Frederik Armknecht. “A New Construction Method for More Efficient Quadratic One-Time Noisy Multi-Client Functional Encryption Schemes.” Proceedings of the ACM Asia Conference on Computer and Communications Security. 2026.
- Linda Scheu-Hachtel and Jasmin Zalonis. “Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning.” IEEE Annual Computer Security Applications Conference (ACSAC). 2025.
- Jasmin Zalonis, Linda Scheu-Hachtel, and Frederik Armknecht. “A New Quadratic Noisy Functional Encryption Scheme and Its Application for Privacy Preserving Machine Learning.” International Conference on Applied Cryptography and Network Security. 2025.
- Jasmin Zalonis, Frederik Armknecht, and Linda Scheu-Hachtel. “Differentially Private Functional Encryption.” Proceedings on Privacy Enhancing Technologies. 2024.