Nicolas Küchler

I'm a final year Ph.D. student in the Privacy Preserving Systems Lab at ETH Zurich. My research interests lie broadly at the intersection of computer systems and data privacy. I design and build systems that follow a user-centric privacy model to enable users to exercise more control over their data. More recently, I'm interested in addressing the challenges of deploying differential privacy at scale. I completed my M.Sc degree in Computer Science at ETH Zurich with distinction. Before that, I graduated summa cum laude from the University of Zurich with a B.Sc degree in Informatics.

Talks:

Cohere: Managing Differential Privacy in Large Scale Systems.

• IEEE Security & Privacy 2024, San Francisco, [Video, Slides, GitHub]
• TPDP'24, Boston, Poster Session
• ETH Zurich, Systems Lunch Seminar

Zeph: Cryptographic Enforcement of End-to-End Data Privacy.

• Stanford, Security Lunch Seminar
• USENIX OSDI'21, Online, [Video, Slides, GitHub]
• UC Berkeley, CA, NetSys Lunch Seminar
• ETH Zurich, Systems Lunch Seminar
• ETH Zurich, Applied Crypto Group

The Privacy Management Layer.

• USENIX Security'22, Boston, Poster Session

DoE-​Suite: A tool for remote experiment management.

• ETH Zurich, Systems Lunch Seminar, [Slides, Github]

Teaching:

• Computer Science for MAVT / ITET (2021, 2022, 2023, 2024, 2025 @ ETH)
• Systems Programming and Computer Architecture (2020, 2021, 2022, 2023 @ ETH)
• Informatics I (2015 @ UZH)

Publications:

DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy

Paper Slides Github

Nicolas Küchler, Alexander Viand, Hidde Lycklama, Anwar Hithnawi

IEEE Security and Privacy (Oakland) 2025.

Artemis: Efficient Commit-and-Prove SNARKs for zkML

Paper Github

Hidde Lycklama*, Alexander Viand*, Nikolay Avramov, Nicolas Küchler, Anwar Hithnawi

Preprint, arXiv:2409.12055

Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning

Paper Slides Github Video

Hidde Lycklama, Alexander Viand, Nicolas Küchler, Christian Knabenhans, Anwar Hithnawi

USENIX Security 2024.

Cohere: Managing Differential Privacy in Large Scale Systems

Paper Slides Github Video

Nicolas Küchler, Emanuel Opel, Hidde Lycklama, Alexander Viand, Anwar Hithnawi

IEEE Security and Privacy (Oakland) 2024.

RoFL: Robustness of Secure Federated Learning

Paper Slides Github Video

Hidde Lycklama*, Lukas Burkhalter*, Alexander Viand, Nicolas Küchler, Anwar Hithnawi

IEEE Security and Privacy (Oakland) 2023.

Cryptographic Auditing for Collaborative Learning

Paper Poster

Hidde Lycklama, Nicolas Küchler, Alexander Viand, Emanuel Opel, Lukas Burkhalter, Anwar Hithnawi

ML Safety Workshop at NeurIPS 2022

Zeph: Cryptographic Enforcement of End-to-End Data Privacy.

Paper Slides Github Video

Lukas Burkhalter*, Nicolas Küchler*, Alexander Viand, Hossein Shafagh, Anwar Hithnawi

USENIX OSDI 2021.