Stuart Millar

According to our database1, Stuart Millar authored at least 9 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Detecting Web Application DAST Attacks with Machine Learning.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

Android Malware Detection Using Deep Learning.
Proceedings of the Artificial Intelligence and Cybersecurity: Theory and Applications, 2023

2022
Vulnerability Detection in Open Source Software: An Introduction.
CoRR, 2022

Optimising Vulnerability Triage in DAST with Deep Learning.
Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security, 2022

2021
Multi-view deep learning for zero-day Android malware detection.
J. Inf. Secur. Appl., 2021

IoT Security Challenges and Mitigations: An Introduction.
CoRR, 2021

Towards Explainable CNNs for Android Malware Detection.
Proceedings of the 12th International Conference on Ambient Systems, 2021

2020
Lucid: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection.
IEEE Trans. Netw. Serv. Manag., 2020

DANdroid: A Multi-View Discriminative Adversarial Network for Obfuscated Android Malware Detection.
Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020


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