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2020 – today
- 2023
[c4]Pojan Shahrivar, Stuart Millar, Ezzeldin Shereen:
Detecting Web Application DAST Attacks with Machine Learning. DSC 2023: 1-8- [p1]Stuart Millar, Niall McLaughlin, Jesús Martínez del Rincón, Paul Miller:
Android Malware Detection Using Deep Learning. Artificial Intelligence and Cybersecurity 2023: 209-246 - 2022
- [c3]Stuart Millar, Denis Podgurskii, Dan Kuykendall, Jesús Martínez del Rincón
, Paul Miller:
Optimising Vulnerability Triage in DAST with Deep Learning. AISec@CCS 2022: 137-147 - [i3]Stuart Millar:
Vulnerability Detection in Open Source Software: An Introduction. CoRR abs/2203.16428 (2022) - 2021
- [j2]Stuart Millar, Niall McLaughlin, Jesús Martínez del Rincón, Paul Miller:
Multi-view deep learning for zero-day Android malware detection. J. Inf. Secur. Appl. 58: 102718 (2021) - [c2]Martin Kinkead, Stuart Millar, Niall McLaughlin, Philip O'Kane:
Towards Explainable CNNs for Android Malware Detection. ANT/EDI40 2021: 959-965 - [i2]Stuart Millar:
IoT Security Challenges and Mitigations: An Introduction. CoRR abs/2112.14618 (2021) - 2020
- [j1]Roberto Doriguzzi Corin, Stuart Millar, Sandra Scott-Hayward, Jesús Martínez del Rincón, Domenico Siracusa:
Lucid: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection. IEEE Trans. Netw. Serv. Manag. 17(2): 876-889 (2020) - [c1]Stuart Millar, Niall McLaughlin, Jesús Martínez del Rincón, Paul Miller, Ziming Zhao:
DANdroid: A Multi-View Discriminative Adversarial Network for Obfuscated Android Malware Detection. CODASPY 2020: 353-364 - [i1]Roberto Doriguzzi Corin, Stuart Millar, Sandra Scott-Hayward, Jesús Martínez del Rincón, Domenico Siracusa:
LUCID: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection. CoRR abs/2002.04902 (2020)
Coauthor Index
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