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Results: 296
Number of items: 296
  • Chabal, D., Sapra, D., de Laat, C., & Mann, Z. Á. (2026). QUOKKA: Faster Secure Neural Network Inference with Early-Exit Technology. In R. Al-Mallah, S. Ayed, F. Cuppens, F. Sailhan, & J. Garcia-Alfaro (Eds.), Foundations and Practice of Security : 18th International Symposium, FPS 2025, Brest, France, November 25–27, 2025 : revised selected papers (Vol. II, pp. 240-257). (Lecture Notes in Computer Science; Vol. 16403). Springer. https://doi.org/10.1007/978-3-032-20026-6_14
  • Open Access
    Monga, I. S. (2026). The quest for predictable and secure networking for science. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Frölich, D. (2026). Exploratory language development: Discovering the unknown unknowns of language design. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Alsayed Kassem, J. (2025). Programmable infrastructures for secure healthcare. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Chabal, D., Muller, T., Zhang, E., Sapra, D., de Laat, C., & Mann, Z. Á. (2025). COLIBRI: Optimizing Multi-party Secure Neural Network Inference Time for Transformers. In L. Nemec Zlatolas, K. Rannenberg, T. Welzer, & J. Garcia-Alfaro (Eds.), ICT Systems Security and Privacy Protection: 40th IFIP International Conference, SEC 2025, Maribor, Slovenia, May 21–23, 2025 : proceedings (Vol. I, pp. 17-31). (IFIP Advances in Information and Communication Technology; Vol. 745). Springer. https://doi.org/10.1007/978-3-031-92882-6_2
  • Open Access
    Müller, T., Turner, R. J., Amiri, S., Allaart, C., van Binsbergen, L. T., Dijksman, L., van Engers, T., Belloum, A., Grosso, P., Grünwald, P., Hoogoort, K., Härmä, A., Hegeman, J. M., Kassem, J. A., Kebede, M., de Laat, C., van der Nat, P., Pals, A., Scheepers, F., & Klous, S. (2025). Optimizing Clinical Pathways with Federated Data. Jusletter IT, 2025, 147-158. https://doi.org/10.38023/eeb1b383-86b0-4b9e-89d5-57af4b58eeb3
  • Open Access
    Dalgkitsis, A., Hsu, C., Papagianni, C., Grosso, P., & de Laat, C. (2025). LLM-based Optimization Algorithm Selection for High-Performance Networks Orchestration. In Proceedings of 2025 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis (SC 2025 Workshops): 16-21 Nov 2025, St. Louis, MO, USA (pp. 854-859). Association for Computing Machinery. https://doi.org/10.1145/3731599.3767458
  • Open Access
    Esterhuyse, C. A. (2025). Specification-centric multi-agent systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Dalgkitsis, A., Koufakis, A., Stutterheim, J., Mifsud, A., Atwani, P., Gommans, L., de Laat, C., Papagianni, C., & Oprescu, A. (2024). Secure Collaborative Model Training with Dynamic Federated Learning in Multi-Domain Environments. In Proceedings of SC24-W: workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis : Atlanta, Georgia, November 17-22, 2024 (pp. 755-759). IEEE. https://doi.org/10.1109/scw63240.2024.00107
  • Open Access
    Mesarcik, M. B. (2024). Machine learning-based anomaly detection for radio telescopes. [Thesis, fully internal, Universiteit van Amsterdam].
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