Myles Foley

According to our database, Myles Foley authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Building Better Environments for Autonomous Cyber Defence.

Chris Hicks, Elizabeth Bates, Shae McFadden, Isaac Symes Thompson, Myles Foley, Ed Chapman, Nickolas Espinosa Dice, Ankita Samaddar, Joshua Sylvester, Himanshu Neema, Nicholas Butts, Nate Foster, Ahmad Ridley, Zoe M, Paul Jones

CoRR, April, 2026

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity.

Shae McFadden, Myles Foley, Elizabeth Bates, Ilias Tsingenopoulos, Sanyam Vyas, Vasilios Mavroudis, Chris Hicks, Fabio Pierazzi

CoRR, February, 2026

Demo: A Local Agentic Memory Layer for LLM-Assisted Coding.

Valentin Radu, Maryam Vahdat Pour, Massimo Pegoraro, Myles Foley, Frank Faricy, Mark Girolami

Proceedings of the 24th Annual International Conference on Mobile Systems, 2026

Demo: Mobile Vibe-Coding with Fully Local Models and Memory.

Valentin Radu, Myles Foley, Maryam Vahdat Pour, Massimo Pegoraro, Frank Faricy, Mark Girolami

Proceedings of the 24th Annual International Conference on Mobile Systems, 2026

CrossBench: Reproducible LLM Memory Evaluation Across Conversational and Coding Workloads.

Valentin Radu, Myles Foley, Maryam Vahdat Pour, Massimo Pegoraro, Frank Faricy, Mark Girolami

Proceedings of the 24th Annual International Conference on Mobile Systems, 2026

Beyond Storage: Toward Living Memory Systems for LLMs on the Edge.

Myles Foley, Valentin Radu, Massimo Pegoraro, Maryam Vahdat Pour, Frank Faricy, Mark Girolami

Proceedings of the 24th Annual International Conference on Mobile Systems, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Clutch Control: An Attention-based Combinatorial Bandit for Efficient Mutation in JavaScript Engine Fuzzing.

Myles Foley, Sergio Maffeis, Muhammad Fakhrur Rozi, Takeshi Takahashi

CoRR, October, 2025

APIRL: Deep Reinforcement Learning for REST API Fuzzing.

Myles Foley, Sergio Maffeis

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2023

SQIRL: Grey-Box Detection of SQL Injection Vulnerabilities Using Reinforcement Learning.

Salim Al Wahaibi, Myles Foley, Sergio Maffeis

Proceedings of the 32nd USENIX Security Symposium, 2023

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

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Haxss: Hierarchical Reinforcement Learning for XSS Payload Generation.

Myles Foley, Sergio Maffeis

Proceedings of the IEEE International Conference on Trust, 2022

Inroads into Autonomous Network Defence using Explained Reinforcement Learning.

Myles Foley, Mia Wang, Zoe M, Chris Hicks, Vasilios Mavroudis

Proceedings of the Conference on Applied Machine Learning in Information Security, 2022

Autonomous Network Defence using Reinforcement Learning.

Myles Foley, Chris Hicks, Kate Highnam, Vasilios Mavroudis

Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022