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Results: 16
Number of items: 16
  • Open Access
    Batool, K., Anwar, S., & Mann, Z. Á. (2024). SecFePAS: Secure Facial-Expression-Based Pain Assessment with Deep Learning at the Edge. In 2024 IEEE/ACM Symposium on Edge Computing: SEC 2024 : 4-7 December 2024, Rome, Italy : proceedings (pp. 417-424). IEEE Computer Society. https://doi.org/10.1109/SEC62691.2024.00046
  • 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. 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
    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
    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
  • 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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