Skip to content

Hidde Lycklama

I am a second-year Ph.D. student at the Privacy Preserving Systems Lab. My research focuses on the robustness of secure collaborative learning systems. My goal is to develop a rigorous understanding of secure collaborative learning systems' robustness and to devise solutions to manage and alleviate integrity issues in these systems. I completed my M.Sc. degree at ETH Zürich in Computer Science. Before that, I graduated cum laude with honors at the Delft University of Technology with a B.Sc in Computer Science.

Talks:

Teaching:

  • Advanced Operating Systems (2022SS)
  • Computer Systems (2021FS)
  • Computer Science for ITET (2021SS)

Publications:

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 RoFL: Attestable Robustness for Secure Federated Learning

RoFL: Attestable Robustness for Secure Federated Learning Paper Github

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

arXiv preprint, arXiv:2107.03311

Thumbnail of Decreg: A framework for preventing double-financing using blockchain technology

Decreg: A framework for preventing double-financing using blockchain technology Paper

Hidde Lycklama, Joris Oudejans, Zekeriya Erkin

ACM Workshop on Blockchain, Cryptocurrencies and Contracts 2017. Abu Dhabi.