Differentiable Constrained Imitation Learning for Robot Motion Planning and Control. - Christopher Diehl; Janis Adamek; Martin Krüger; Frank Hoffmann 001; Torsten Bertram (CoRR, 2022)

Towards privacy-preserving cooperative control via encrypted distributed optimization. - Philipp Binfet; Janis Adamek; Nils Schlüter; Moritz Schulze Darup (Autom., 2023)

Encrypted system identification as-a-service via reliable encrypted matrix inversion. - Janis Adamek; Philipp Binfet; Nils Schlüter; Moritz Schulze Darup (CDC, 2024)

Privacy-preserving gradient-based fair federated learning. - Janis Adamek; Moritz Schulze Darup (CoDIT, 2024)

On the design of stabilizing FIR controllers. - Janis Adamek; Nils Schlüter; Moritz Schulze Darup (CoDIT, 2024)

Polynomial Function Approximations With Leading Integer Coefficients for Efficient Encrypted Implementations. - Dieter Teichrib; Janis Adamek; Philipp Binfet; Moritz Schulze Darup (IEEE Access, 2025)

FHERMA Cookbook: FHE Components for Privacy-Preserving Applications. - Janis Adamek; Aikata Aikata; Ahmad Al Badawi; Andreea Alexandru; Armen Arakelov; Philipp Binfet; Victor Correa; Jules Dumezy; Sergey Gomenyuk; Valentina Kononova; Dmitrii Lekomtsev; Vivian Maloney; et al. (IACR Cryptol. ePrint Arch., 2025)