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Results: 15
Number of items: 15
  • Open Access
    Batool, K., Anwar, S., Regazzoni, F., Pimentel, A., & Mann, Z. Á. (2026). SwiftSNNI: Optimized Scheduling for Secure Neural Network Inference (SNNI) on Multi-Core Systems. In ICPE '26: Proceedings of the 17th ACM/SPEC International Conference on Performance Engineering : May 4-8, 2026, Florence, Italy (pp. 120-134). Association for Computing Machinery. https://doi.org/10.1145/3777884.3797005
  • Open Access
    Peltonen, E., Bayhan, S., Bermbach, D., Buschjager, S., Degeler, V., Ding, A. Y., Incel, Ö. D., Katare, D., Kjargaard, M. B., Leroux, S., Mahmoodi, T., Mann, Z. Á., Meratnia, N., Pimentel, A. D., Rellermeyer, J. S., Rivière, E., Sapra, D., Solmaz, G., & van der Waaij, B. (2025). Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum. IEEE Internet Computing, 29(2), 8-18. https://doi.org/10.1109/MIC.2025.3566642
  • Open Access
    van Dijk, R., van de Wetering, J., Argentini, R., Gorka, L., van Luenen, A. F., Minnema, S., Rijgersberg, E., Ugen, M., Mann, Z. Á., & Geradts, Z. (2025). PaSSw0rdVib3s! AI-assisted password recognition for digital forensic investigations. Forensic Science International: Digital Investigation, 52(supplement), Article 301870. https://doi.org/10.1016/j.fsidi.2025.301870
  • 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
    Prins, J., & Mann, Z. Á. (2024). Secure Neural Network Inference for Edge Intelligence: Implications of Bandwidth and Energy Constraints. In S. Pal, C. Savaglio, R. Minerva, & F. C. Delicato (Eds.), IoT Edge Intelligence (pp. 265–288). (Internet of Things). Springer. https://doi.org/10.1007/978-3-031-58388-9_9
  • Open Access
    Zhang, E., & Mann, Z. Á. (2024). Predicting the Execution Time of Secure Neural Network Inference. In N. Pitropakis, S. Katsikas, S. Furnell, & K. Markantonakis (Eds.), ICT Systems Security and Privacy Protection: 39th IFIP International Conference, SEC 2024, Edinburgh, UK, June 12–14, 2024 : proceedings (pp. 481–494). (IFIP Advances in Information and Communication Technology; Vol. 710). Springer. https://doi.org/10.1007/978-3-031-65175-5_34
  • 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
    Al-Momani, A., Balenson, D., Mann, Z. Á., Pape, S., Petit, J., & Bösch, C. (2024). Navigating Privacy Patterns in the Era of Robotaxis. In Proceedings 9th IEEE European Symposium on Security and Privacy Workshops: EuroS&PW 2024 : 8-12 July 2024, Vienna, Austria (pp. 32–39). IEEE Computer Society. https://doi.org/10.1109/eurospw61312.2024.00011
  • 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
    Mann, Z. Á. (2024). Urgency in Cybersecurity Risk Management: Toward a Solid Theory. In 2024 IEEE 37th Computer Security Foundations Symposium: proceedings : 8-12 July 2024, Enschede, The Netherlands (pp. 651-664). (CSF). IEEE Computer Society. https://doi.org/10.1109/CSF61375.2024.00051
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