Synthetic Data in Automatic Number Plate Recognition. - David Brunner; Fabian Schmid (DEXA Workshops, 2022)

Towards Private Deep Learning-based Side-Channel Analysis using Homomorphic Encryption. - Fabian Schmid; Shibam Mukherjee; Stjepan Picek; Marc Stöttinger; Fabrizio De Santis; Christian Rechberger (IACR Cryptol. ePrint Arch., 2023)

Towards Private Deep Learning-Based Side-Channel Analysis Using Homomorphic Encryption - Opportunities and Limitations. - Fabian Schmid; Shibam Mukherjee; Stjepan Picek; Marc Stöttinger; Fabrizio De Santis; Christian Rechberger (COSADE, 2024)

Minimize the Randomness in Rasta-Like Designs: How Far Can We Go? - Application to Pasta. - Lorenzo Grassi 001; Fukang Liu; Christian Rechberger; Fabian Schmid; Roman Walch; Qingju Wang 001 (SAC (2), 2024)

Minimize the Randomness in Rasta-Like Designs: How Far Can We Go? - Lorenzo Grassi 001; Fukang Liu; Christian Rechberger; Fabian Schmid; Roman Walch; Qingju Wang 001 (IACR Cryptol. ePrint Arch., 2024)

Accelerating Multiparty Noise Generation Using Lookups. - Fredrik Meisingseth; Christian Rechberger; Fabian Schmid (IACR Cryptol. ePrint Arch., 2025)

Practical Two-party Computational Differential Privacy with Active Security. - Fredrik Meisingseth; Christian Rechberger; Fabian Schmid (Proc. Priv. Enhancing Technol., 2025)

Skyscraper: Fast Hashing on Big Primes. - Clémence Bouvier; Lorenzo Grassi 001; Dmitry Khovratovich; Katharina Koschatko; Christian Rechberger; Fabian Schmid; Markus Schofnegger (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2025)