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Nicolas Küchler
Nicolas Küchler

PhD Student

Nicolas Küchler

I'm a third-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.

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

The Privacy Management Layer.

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

Teaching:

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

Publications:

Thumbnail of Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning

Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning Paper

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

Preprint, arXiv:2402.15780

Thumbnail of Cohere: Managing Differential Privacy in Large Scale Systems

Cohere: Managing Differential Privacy in Large Scale Systems Paper

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

IEEE Security and Privacy (Oakland) 2024.

Thumbnail of RoFL: Robustness of Secure Federated Learning

RoFL: Robustness of Secure Federated Learning Paper Github

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

IEEE Security and Privacy (Oakland) 2023.

Thumbnail of Cryptographic Auditing for Collaborative Learning

Cryptographic Auditing for Collaborative Learning Paper

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

ML Safety Workshop at NeurIPS 2022

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

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.