Dr Andrew Cullen
Senior Research Fellow in Adversarial Machine Learning
School of Computing and Information Systems
26 Scholarly works
2 Projects
HIGHLIGHTS
2026
Book Chapter
(Poster) Physics-Informed Value Approximation for Pursuit-Evasion Games
DOI: 10.1007/978-3-032-08067-7_172025
Journal article
Algorithmically-designed reward shaping for multiagent reinforcement learning in navigation
DOI: 10.1016/j.neucom.2025.1316542025
Journal article
Game-Theoretic Analysis of Adversarial Decision Making in a Complex Socio-Physical System
DOI: 10.1007/s13235-024-00593-42025
Journal article
Suboptimality of Constrained Action Adversarial Cyber-Physical Games
DOI: 10.1007/s13235-025-00631-92025
Research contracts (non-grants)
Adversarial Reinforcement Learning: Attacks and Defences
2025
Conference Proceedings
MULTI-LEVEL CERTIFIED DEFENSE AGAINST POISONING ATTACKS IN OFFLINE REINFORCEMENT LEARNING
2021
Research Contracts
Game Theory and Machine Learning for at Scale Network Unified Warfighting Models
RECENT SCHOLARLY WORKS
2025
Conference Proceedings
A Swarmalator-Based Multiplayer Pursuit-Evasion Game
DOI: 10.1109/CDC57313.2025.113130232025
Conference Proceedings
Position: Certified Robustness Does Not (Yet) Imply Model Security
2024
Journal article
Human Decisions versus Multi-agent Reinforcement Learning in a Pursuit-evader Game
DOI: 10.1016/j.ifacol.2025.01.1912024
Conference Proceedings
Reinforcement Learning for Joint Resource and Power Allocation in D2D Communications
DOI: 10.1109/CDC56724.2024.108861692024
Conference Proceedings
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples