Fabian Schmid

Dipl.-Ing. BSc

Cryptology & Privacy, PhD Student

Fabian Schmid is a Ph.D. student with a research focus on cryptography and privacy. He started working for the Institute of Applied Information Processing and Communications (IAIK) while doing his bachelor's and master's degrees in information and computer engineering at TU Graz. His main research interests lie in privacy-enhancing technologies (HE, MPC, ZK), focusing on multi-key HE, verifiable computation, and real-world use cases of privacy. Fabian is advised by Prof. Christian Rechberger.
Fabian Schmid

Publications

Practical Two-party Computational Differential Privacy with Active Security

Meisingseth F., Rechberger C., Schmid F.
Proceedings on Privacy Enhancing Technologies, 24th Privacy Enhancing Technologies Symposium, PETS 2024, 341-360

Minimize the Randomness in Rasta-Like Designs: How Far Can We Go?

Schmid F., Rechberger C., Grassi L., Liu F., Walch R., Wang Q.
Selected Areas in Cryptography, Springer

Towards Private Deep Learning-Based Side-Channel Analysis using Homomorphic Encryption

Schmid F., Rechberger C., Mukherjee S., Stöttinger M., Picek S., De Santis F.
Constructive Side-Channel Analysis and Secure Design , 15th International Workshop on Constructive Side-Channel Analysis and Secure Design

Towards Private Deep Learning-Based Side-Channel Analysis Using Homomorphic Encryption

Schmid F., Mukherjee S., Picek S., Stöttinger M., De Santis F., Rechberger C.
Constructive Side-Channel Analysis and Secure Design - 15th International Workshop, COSADE 2024, Proceedings, 15th International Workshop on Constructive Side-Channel Analysis and Secure Design, 133-154, (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14595 LNCS)

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