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Results: 15
Number of items: 15
  • 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
    Regazzoni, F., Acs, G., Aszalos, A. Z., Avgerinos, C., Bakalos, N., Berral, J. L., Bos, J. W., Brohet, M., Castillo Sanz, A. G., Davies, G. T., Florescu, S., Flory, P.-E., Gutierrez-Torre, A., Haleplidis, E., Héliou, A., Ioannidis, S., El-Kady, A. I., Kapusta, K., Karagianni, K., ... Fournaris, A. P. (2024). SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space. In 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE): proceedings : Valencia, Spain, 25-27 March 2024 (pp. 1552-1555). IEEE. https://doi.org/10.23919/DATE58400.2024.10546514
  • Open Access
    Mann, Z. Á., Petit, J., Thornton, S. M., Buchholz, M., & Millar, J. (2024). SPIDER: Interplay Assessment Method for Privacy and Other Values. In Proceedings 9th IEEE European Symposium on Security and Privacy Workshops: EuroS&PW 2024 : 8-12 July 2024, Vienna, Austria (pp. 1–8). IEEE Computer Society. https://doi.org/10.1109/eurospw61312.2024.00007
  • 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
  • Open Access
    Smolka, S., Wißenberg, L., & Mann, Z. A. (2023). EdgeDecAp: An auction-based decentralized algorithm for optimizing application placement in edge computing. Journal of Parallel and Distributed Computing, 175, 22-36. https://doi.org/10.1016/J.JPDC.2023.01.002
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