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David_226

Owheo Building, Room 1.25
Tel +64 3 479 5749
Email david.eyers@otago.ac.nz

Before joining the University of Otago, I worked as a senior research associate at the University of Cambridge, from where I was awarded my PhD. My undergraduate degrees (Computer Engineering and Pure Maths) are from UNSW in Sydney, Australia.

My recent research has examined security enforcement and data dissemination mechanisms within wide-area distributed systems. In particular, I have worked with event-based middleware, role-based access control, decentralised information flow control, and try to develop connections between these technologies. My research is of growing importance to cloud and grid computing: large-scale public services, such as electronic health record repositories, must manage sensitive data in a secure manner.

For more information see my research pages

Publications

Knott, A., Pedreschi, D., Chatila, R., Chakraborti, T., Leavy, S., Baeza-Yates, R., Eyers, D., Trotman, A., … Bengio, Y. (2023). Generative AI models should include detection mechanisms as a condition for public release. Ethics & Information Technology, 25(4), 55. doi: 10.1007/s10676-023-09728-4

Eyers, D. (2023, July). Head in the clouds: The passing front of a new computing paradigm. University of Otago, Dunedin, New Zealand. [Inaugural Professorial Lecture].

Abbas, M., Khan, S., Monum, A., Zaffar, F., Tahir, R., Eyers, D., … Pasquier, T. (2022). PACED: Provenance-based Automated Container Escape Detection. Proceedings of the IEEE International Conference on Cloud Engineering (IC2E). (pp. 261-272). IEEE. doi: 10.1109/IC2E55432.2022.00035

Sartakov, V. A., Vilanova, L., Eyers, D., Shinagawa, T., & Pietzuch, P. (2022). CAP-VMs: Capability-based isolation and sharing in the cloud. Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI). (pp. 597-612). USENIX Association. [Full Paper]

Zareei, S., Kelbe, D., Sirguey, P., Mills, S., & Eyers, D. M. (2021). Virtual ground control for survey-grade terrain modelling from satellite imagery. Proceedings of the 36th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ54163.2021.9653389

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