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),
 
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3

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
 
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6

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

, In: 2022 IEEE Secure Development Conference (SecDev),
 
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10

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

, In: 2021 International Conference on Machine Learning and Cybernetics (ICMLC),
 
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11

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
 
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12

Linear measurements from nonlinear sensors: Identifying dis..:

Gunn, Lachlan J. ; Allison, Andrew ; Abbott, Derek
IEEE Instrumentation & Measurement Magazine.  23 (2020)  1 - p. 50-55 , 2020
 
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14

Circumventing Cryptographic Deniability with Remote Attesta..:

Gunn, Lachlan J. ; Parra, Ricardo Vieitez ; Asokan, N.
Proceedings on Privacy Enhancing Technologies.  2019 (2019)  3 - p. 350-369 , 2019
 
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15

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
 
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