Hidde Lycklama

According to our database, Hidde Lycklama authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy.

Nicolas Küchler, Alexander Viand, Hidde Lycklama, Anwar Hithnawi

Proceedings of the IEEE Symposium on Security and Privacy, 2025

2024

Fragile Giants: Understanding the Susceptibility of Models to Subpopulation Attacks.

Isha Gupta, Hidde Lycklama, Emanuel Opel, Evan Rose, Anwar Hithnawi

CoRR, 2024

UTrace: Poisoning Forensics for Private Collaborative Learning.

Evan Rose, Hidde Lycklama, Harsh Chaudhari, Anwar Hithnawi, Alina Oprea

CoRR, 2024

Artemis: Efficient Commit-and-Prove SNARKs for zkML.

Hidde Lycklama, Alexander Viand, Nikolay Avramov, Nicolas Küchler, Anwar Hithnawi

CoRR, 2024

Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning.

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

Proceedings of the 33rd USENIX Security Symposium, 2024

Cohere: Managing Differential Privacy in Large Scale Systems.

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

Proceedings of the IEEE Symposium on Security and Privacy, 2024

2023

Cohere: Privacy Management in Large Scale Systems.

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

CoRR, 2023

RoFL: Robustness of Secure Federated Learning.

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

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

2021

RoFL: Attestable Robustness for Secure Federated Learning.

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

CoRR, 2021