Fredrik Meisingseth
civ.ing.Cryptology & Privacy, PhD Student
                    After graduating with a degree in applied mathematics from Chalmers in Gothenburg, Sweden, i started here at ISEC as a doctoral student in the fall of 2022. My research mainly concerns differential privacy, and more specifically its interplay with other cryptographic techniques, such as multi-party computation and zero-knowledge proofs. Concretely, my theoretical work is about relations between statistical and computational differential privacy and on the theory about random variable commitment schemes and certified differential privacy. My applied work is about how to efficiently sample noise (as needed for differential privacy) either certifiably or jointly between multiple parties.
I currently take part in the teaching of PETS and MFC and supervise students in ISW as well as bachelor's and master's theses. In case you have questions about any of those courses or are interested in a project related to differential privacy or mathematical aspects of cryptography more generally, feel free to send me an email or just drop by my office.                
                
             
            Publications
SoK: Computational and Distributed Differential Privacy for MPC
Meisingseth F., Rechberger C.
Proceedings on Privacy Enhancing Technologies
Practical Two-party Computational Differential Privacy with Active Security
Meisingseth F., Rechberger C., Schmid F.
Proceedings on Privacy Enhancing Technologies
OPRFs from Isogenies
Heimberger L., Hennerbichler T., Meisingseth F., Ramacher S., Rechberger C.
ACM AsiaCCS 2024 - Proceedings of the 19th ACM Asia Conference on Computer and Communications Security
Hiding Your Awful Online Choices Made More Efficient and Secure
Mukherjee S., Walch R., Meisingseth F., Lex E., Rechberger C.
ICT Systems Security and Privacy Protection - 39th IFIP International Conference, SEC 2024, Proceedings
