Myles Foley - RankMe

16 papers A* 3A 1B 1Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift. AAAI Shae McFadden, Myles Foley, Mario D'Onghia, Chris Hicks, Vasilios Mavroudis, Nicola Paoletti, Fabio Pierazzi
2026	J	`jnl`	SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity. CoRR Shae McFadden, Myles Foley, Elizabeth Bates, Ilias Tsingenopoulos, Sanyam Vyas, Vasilios Mavroudis, Chris Hicks, Fabio Pierazzi
2025	A*	`conf`	APIRL: Deep Reinforcement Learning for REST API Fuzzing. AAAI Myles Foley, Sergio Maffeis
2025	J	`jnl`	Clutch Control: An Attention-based Combinatorial Bandit for Efficient Mutation in JavaScript Engine Fuzzing. CoRR Myles Foley, Sergio Maffeis, Muhammad Fakhrur Rozi, Takeshi Takahashi
2025	J	`jnl`	DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift. CoRR Shae McFadden, Myles Foley, Mario D'Onghia, Chris Hicks, Vasilios Mavroudis, Nicola Paoletti, Fabio Pierazzi
2024	J	`jnl`	APIRL: Deep Reinforcement Learning for REST API Fuzzing. CoRR Myles Foley, Sergio Maffeis
2024	J	`jnl`	Autonomous Network Defence using Reinforcement Learning. CoRR Myles Foley, Chris Hicks, Kate Highnam, Vasilios Mavroudis
2023	—	`conf`	Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning. AISec@CCS Chris Hicks, Vasilios Mavroudis, Myles Foley, Thomas Davies, Kate Highnam, Tim Watson
2023	J	`jnl`	Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning. CoRR Chris Hicks, Vasilios Mavroudis, Myles Foley, Thomas Davies, Kate Highnam, Tim Watson
2023	J	`jnl`	Inroads into Autonomous Network Defence using Explained Reinforcement Learning. CoRR Myles Foley, Mia Wang, Zoe M, Chris Hicks, Vasilios Mavroudis
2023	—	`conf`	Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models. ACL (1) Myles Foley, Ambrish Rawat, Taesung Lee, Yufang Hou, Gabriele Picco, Giulio Zizzo
2023	J	`jnl`	Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models. CoRR Myles Foley, Ambrish Rawat, Taesung Lee, Yufang Hou, Gabriele Picco, Giulio Zizzo
2023	A*	`conf`	SQIRL: Grey-Box Detection of SQL Injection Vulnerabilities Using Reinforcement Learning. USENIX Security Symposium Salim Al Wahaibi, Myles Foley, Sergio Maffeis
2022	A	`conf`	Autonomous Network Defence using Reinforcement Learning. AsiaCCS Myles Foley, Chris Hicks, Kate Highnam, Vasilios Mavroudis
2022	B	`conf`	Haxss: Hierarchical Reinforcement Learning for XSS Payload Generation. TrustCom Myles Foley, Sergio Maffeis
2022	—	`conf`	Inroads into Autonomous Network Defence using Explained Reinforcement Learning. CAMLIS Myles Foley, Mia Wang, Zoe M, Chris Hicks, Vasilios Mavroudis