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Results: 14
Number of items: 14
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Islam, T., Oprescu, A., Mann, Z. Á., & Klous, S. (2024). A Framework to Optimize the Energy Cost of Securing Neural Network Inference. In IEEE Congress on Cybermatics: 2024 IEEE International Conferences on Internet of Things (iThings), IEEE Green Computing and Communications (GreenCom), IEEE Cyber, Physical and Social Computing (CPSCom), IEEE Smart Data (SmartData): Cybermatics 2024: iThings 2024 GreenCom 2024 CPSCom 2024 SmartData 2024 : 19-22 August 2024, Copenhagen, Denmark : proceedings (pp. 339–346). IEEE Computer Society. https://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics62450.2024.00073 -
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 -
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 -
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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