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Andrew McCarthy
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Functionality-Preserving Adversarial Machine Learning for Robust Classification in Cybersecurity and Intrusion Detection Domains: A Survey
A McCarthy, E Ghadafi, P Andriotis, P Legg
Journal of Cybersecurity and Privacy 2 (1), 154-190, 2022
522022
Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification
A McCarthy, E Ghadafi, P Andriotis, P Legg
Journal of Information Security and Applications 72, 103398, 2023
282023
Feature Vulnerability and Robustness Assessment against Adversarial Machine Learning Attacks
A McCarthy, P Andriotis, E Ghadafi, P Legg
2021 International Conference on Cyber Situational Awareness, Data Analytics …, 2021
142021
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)
E Jefferson, J Liley, M Malone, S Reel, A Crespi-Boixader, X Kerasidou, ...
arXiv preprint arXiv:2211.01656, 2022
82022
Shouting Through Letterboxes: A study on attack susceptibility of voice assistants
A Mccarthy, BR Gaster, P Legg
2020 International Conference on Cyber Security and Protection of Digital …, 2020
62020
Safe machine learning model release from Trusted Research Environments: The AI-SDC package
J Smith, R Preen, A McCarthy, AC Boixander, J Liley, S Rogers
arXiv preprint arXiv:2212.01233, 2022
2022
Interactive Methods for Improving Robustness of Neural Networks Against Adversarial Attacks
A McCarthy
Cranfield University, 2020
2020
Defending against adversarial machine learning attacks using hierarchical learning
A McCarthy, E Ghadafi, P Andriotis, P Legg
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