Autonomous Network Defence using Reinforcement Learning. - Myles Foley; Chris Hicks; Kate Highnam; Vasilios Mavroudis (AsiaCCS, 2022)

Inroads into Autonomous Network Defence using Explained Reinforcement Learning. - Myles Foley; Mia Wang; Zoe M; Chris Hicks; Vasilios Mavroudis (CAMLIS, 2022)

Haxss: Hierarchical Reinforcement Learning for XSS Payload Generation. - Myles Foley; Sergio Maffeis (TrustCom, 2022)

Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models. - Myles Foley; Ambrish Rawat; Taesung Lee; Yufang Hou; Gabriele Picco; Giulio Zizzo (ACL (1), 2023)

Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning. - Chris Hicks; Vasilios Mavroudis; Myles Foley; Thomas Davies 001; Kate Highnam; Tim Watson (AISec@CCS, 2023)

SQIRL: Grey-Box Detection of SQL Injection Vulnerabilities Using Reinforcement Learning. - Salim Al Wahaibi; Myles Foley; Sergio Maffeis (USENIX Security Symposium, 2023)

APIRL: Deep Reinforcement Learning for REST API Fuzzing. - Myles Foley; Sergio Maffeis (AAAI, 2025)