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Gunn, Lachlan J
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1

Data-Oblivious ML Accelerators Using Hardware Security Exte..:

, In: 2024 IEEE International Symposium on Hardware Oriented Security and Trust (HOST),
ElAtali, Hossam ; Jekel, John Z. ; Gunn, Lachlan J.. - p. 373-377 , 2024
Link: https://doi.org/10.1109/..
 
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2

Towards cryptographically-authenticated in-memory data stru..:

, In: 2022 IEEE Secure Development Conference (SecDev),
Ghorshi, Setareh ; Gunn, Lachlan J. ; Liljestrand, Hans. - p. 30-44 , 2022
Link: https://doi.org/10.1109/..
 
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3

GrandDetAuto: Detecting Malicious Nodes in Large-Scale Auto..:

, In: Proceedings of the 24th International Symposium on Research in Attacks, Intrusions and Defenses,
Abera, Tigist ; Brasser, Ferdinand ; Gunn, Lachlan... - p. 220-234 , 2021
Link: https://dl.acm.org/doi/1..
 
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4

Making Speculative BFT Resilient with Trusted Monotonic Cou..:

, In: 2019 38th Symposium on Reliable Distributed Systems (SRDS),
Gunn, Lachlan J ; Liu, Jian ; Vavala, Bruno. - p. 133-13309 , 2019
Link: https://doi.org/10.1109/..
 
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5

An output-only nonlinear system identification technique su..:

, In: 2016 IEEE Conference on Norbert Wiener in the 21st Century (21CW),
Gunn, Lachlan J. ; Chapeau-Blondeau, Francois ; Allison, Andrew. - p. 1-4 , 2016
Link: https://doi.org/10.1109/..
 
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6

A Testbed for Automating and Analysing Mobile Devices and T..:

, In: 2023 International Conference on Machine Learning and Cybernetics (ICMLC),
Simpson, Lachlan ; Millar, Kyle ; Cheng, Adriel.. - p. 201-208 , 2023
Link: https://doi.org/10.1109/..
 
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7

Detecting Botnet Victims Through Graph-Based Machine Learni..:

, In: 2021 International Conference on Machine Learning and Cybernetics (ICMLC),
Millar, Kyle ; Simpson, Lachlan ; Cheng, Adriel.. - p. 1-6 , 2021
Link: https://doi.org/10.1109/..
 
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