| Rofl: Robustness of secure federated learning H Lycklama, L Burkhalter, A Viand, N Küchler, A Hithnawi 2023 IEEE Symposium on Security and Privacy (SP), 453-476, 2023 | 118* | 2023 |
| Decreg: A framework for preventing double-financing using blockchain technology H Lycklama à Nijeholt, J Oudejans, Z Erkin Proceedings of the ACM Workshop on Blockchain, Cryptocurrencies and …, 2017 | 51 | 2017 |
| Mobile payment method and system MLJ Liezenberg, HSL à Lycklama, JC Oudejans US Patent App. 14/846,995, 2017 | 9 | 2017 |
| Cohere: Privacy management in large scale systems N Küchler, E Opel, H Lycklama, A Viand, A Hithnawi arXiv preprint arXiv:2301.08517, 2023 | 6 | 2023 |
| Holding secrets accountable: Auditing privacy-preserving machine learning H Lycklama, A Viand, N Küchler, C Knabenhans, A Hithnawi arXiv preprint, 2024 | 5 | 2024 |
| Cohere: Managing differential privacy in large scale systems N Küchler, E Opel, H Lycklama, A Viand, A Hithnawi 2024 IEEE Symposium on Security and Privacy (SP), 991-1008, 2024 | 5 | 2024 |
| Cryptographic auditing for collaborative learning H Lycklama, N Küchler, A Viand, E Opel, L Burkhalter, A Hithnawi NeurIPS ML Safety Workshop, 2022 | 3 | 2022 |
| UTrace: Poisoning Forensics for Private Collaborative Learning E Rose, H Lycklama, H Chaudhari, A Hithnawi, A Oprea arXiv preprint arXiv:2409.15126, 2024 | 1 | 2024 |
| Artemis: Efficient Commit-and-Prove SNARKs for zkML H Lycklama, A Viand, N Avramov, N Küchler, A Hithnawi arXiv preprint arXiv:2409.12055, 2024 | 1 | 2024 |
| Fragile Giants: Understanding the Susceptibility of Models to Subpopulation Attacks I Gupta, H Lycklama, E Opel, E Rose, A Hithnawi arXiv preprint arXiv:2410.08872, 2024 | | 2024 |
| Bachelor’s Thesis Nr.# 443b I Gupta, H Lycklama, A Hithnawi, T Roscoe | | |
