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Results: 4
Number of items: 4
  • 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
    Samaritaki, G., Yavuz, H. T., Chabal, D., & Oprescu, A. (2025). Echoes of the Future: Designing a Game for Green Software Engineering. In GREENS 2025 : 2025 IEEE/ACM 9th International Workshop on Green and Sustainable Software: Ottawa, Ontario, Canada, 29 April 2025 : proceedings (pp. 84-91). IEEE Computer Society. https://doi.org/10.1109/GREENS66463.2025.00017
  • Open Access
    Mann, Z. A., Weinert, C., Chabal, D., & Bos, J. W. (2024). Towards Practical Secure Neural Network Inference: The Journey So Far and the Road Ahead. ACM Computing Surveys, 56(5), Article 117. https://doi.org/10.1145/3628446
  • Open Access
    Chabal, D., Sapra, D., & Mann, Z. A. (2023). On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence. (v2 ed.) ArXiv. https://doi.org/10.48550/arXiv.2302.05323
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