| 2026 | AAAI | DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift. | Shae McFadden, Myles Foley, Mario D'Onghia, Chris Hicks, Vasilios Mavroudis, Nicola Paoletti, Fabio Pierazzi |
| 2026 | AAAI | Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning. | Sanyam Vyas, Alberto Caron, Chris Hicks, Pete Burnap, Vasilios Mavroudis |
| 2025 | IJCNN | Towards Autonomous Cyber Defence: Applying Systems Theoretic Process Analysis to Human-Machine Teaming. | Shu-Jui Chang, Chris Hicks, Vasilios Mavroudis, Iain Phillips, Tim Watson |
| 2024 | ACSAC | Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems. | Benjamin Kolicic, Alberto Caron, Vasilios Mavroudis, Chris Hicks |
| 2024 | SP | WENDIGO: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL. | Shae McFadden, Marcello Maugeri, Chris Hicks, Vasilios Mavroudis, Fabio Pierazzi |
| 2024 | SP | Mitigating Deep Reinforcement Learning Backdoors in the Neural Activation Space. | Sanyam Vyas, Chris Hicks, Vasilios Mavroudis |
| 2023 | CCS | Reward Shaping for Happier Autonomous Cyber Security Agents. | Elizabeth Bates, Vasilios Mavroudis, Chris Hicks |
| 2023 | CCS | Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning. | Chris Hicks, Vasilios Mavroudis, Myles Foley, Thomas Davies, Kate Highnam, Tim Watson |
| 2022 | AsiaCCS | Autonomous Network Defence using Reinforcement Learning. | Myles Foley, Chris Hicks, Kate Highnam, Vasilios Mavroudis |