Hidde Lycklama

11 papers A* 4Journal 7
YearRankTypeTitle / Venue / Authors
2025 A* conf
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy.
SP
Nicolas Küchler, Alexander Viand, Hidde Lycklama, Anwar Hithnawi
2025 J jnl
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy.
CoRR
Nicolas Küchler, Alexander Viand, Hidde Lycklama, Anwar Hithnawi
2024 J jnl
Artemis: Efficient Commit-and-Prove SNARKs for zkML.
CoRR
Hidde Lycklama, Alexander Viand, Nikolay Avramov, Nicolas Küchler, Anwar Hithnawi
2024 A* conf
Cohere: Managing Differential Privacy in Large Scale Systems.
SP
Nicolas Küchler, Emanuel Opel, Hidde Lycklama, Alexander Viand, Anwar Hithnawi
2024 J jnl
Fragile Giants: Understanding the Susceptibility of Models to Subpopulation Attacks.
CoRR
Isha Gupta, Hidde Lycklama, Emanuel Opel, Evan Rose, Anwar Hithnawi
2024 A* conf
Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning.
USENIX Security Symposium
Hidde Lycklama, Alexander Viand, Nicolas Küchler, Christian Knabenhans, Anwar Hithnawi
2024 J jnl
Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning.
CoRR
Hidde Lycklama, Alexander Viand, Nicolas Küchler, Christian Knabenhans, Anwar Hithnawi
2024 J jnl
UTrace: Poisoning Forensics for Private Collaborative Learning.
CoRR
Evan Rose, Hidde Lycklama, Harsh Chaudhari, Anwar Hithnawi, Alina Oprea
2023 J jnl
Cohere: Privacy Management in Large Scale Systems.
CoRR
Nicolas Küchler, Emanuel Opel, Hidde Lycklama, Alexander Viand, Anwar Hithnawi
2023 A* conf
RoFL: Robustness of Secure Federated Learning.
SP
Hidde Lycklama, Lukas Burkhalter, Alexander Viand, Nicolas Küchler, Anwar Hithnawi
2021 J jnl
RoFL: Attestable Robustness for Secure Federated Learning.
CoRR
Lukas Burkhalter, Hidde Lycklama, Alexander Viand, Nicolas Küchler, Anwar Hithnawi