Hidde Lycklama

Joined

November 2022

Names

Hidde Lycklama (Preferred)

Emails

****@inf.ethz.ch (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Department of Computer Science, ETHZ - ETH Zurich (inf.ethz.ch)

2020 – 2025

Advisors, Relations & Conflicts

Coauthor

Alina Oprea

2024 – 2025

Coauthor

Evan Rose

2024 – 2025

Coauthor

Harsh Chaudhari

2024 – 2025

PhD Advisor

Anwar Hithnawi

2020 – 2025

Expertise

SECURE MULTIPARTY COMPUTATION

2020 – 2025

ZERO-KNOWLEDGE PROOFS

2020 – 2025

CRYPTOGRAPHY

2020 – 2025

Publications

Artemis: Efficient Commit-and-Prove SNARKs for zkML
Hidde Lycklama, Alexander Viand, Nikolay Avramov, Nicolas Küchler, Anwar Hithnawi
- OpenReview Archive Direct Upload
- Readers: Everyone
Fragile Giants: Understanding Susceptibility of Models to Subpopulation Attacks
Isha Gupta, Hidde Lycklama, Emanuel Opel, Evan Rose, Anwar Hithnawi
- Submitted to ICLR 2025
- Readers: Everyone
Cohere: Managing Differential Privacy in Large Scale Systems
Nicolas Küchler, Emanuel Opel, Hidde Lycklama, Alexander Viand, Anwar Hithnawi
- SP 2024
- Readers: Everyone
Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning
Hidde Lycklama, Alexander Viand, Nicolas Küchler, Christian Knabenhans, Anwar Hithnawi
- USENIX Security Symposium 2024
- Readers: Everyone
RoFL: Robustness of Secure Federated Learning
Hidde Lycklama, Lukas Burkhalter, Alexander Viand, Nicolas Küchler, Anwar Hithnawi
- SP 2023
- Readers: Everyone

Hidde Lycklama

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Artemis: Efficient Commit-and-Prove SNARKs for zkML

Fragile Giants: Understanding Susceptibility of Models to Subpopulation Attacks

Cohere: Managing Differential Privacy in Large Scale Systems

Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning

RoFL: Robustness of Secure Federated Learning

Co-Authors