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:
RoFL: Robustness of Secure Federated Learning
- IEEE S&P 2023, San Francisco, [Video]
- ETH Zurich, Systems Lunch Seminar
Camel: Collaborative Audits for Machine Learning
- USENIX Security 2022, Boston: Poster Session
Teaching:
- Advanced Operating Systems (2022SS)
- Computer Systems (2021FS, 2022FS)
- Computer Science for ITET (2021SS)
Publications:
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.
RoFL: Robustness of Secure Federated Learning Paper Github
Hidde Lycklama*, Lukas Burkhalter*, Alexander Viand, Nicolas Küchler, Anwar Hithnawi
IEEE Security and Privacy (Oakland) 2023.
Cryptographic Auditing for Collaborative Learning Paper
Hidde Lycklama, Nicolas Küchler, Alexander Viand, Emanuel Opel, Lukas Burkhalter, Anwar Hithnawi
ML Safety Workshop at NeurIPS 2022
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.