4 citations · 5 across the 5 of their papers we have counts for
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cs.CR2026
Learning Communication Between Heterogeneous Agents in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
Alex Popa, Adrian Taylor, Ranwa Al Mallah
Reinforcement learning techniques are being explored as solutions to the threat of cyber attacks on enterprise networks. Recent research in the field of AI in cyber security has in…
cs.CR2025
Large Language Model Integration with Reinforcement Learning to Augment Decision-Making in Autonomous Cyber Operations
Konur Tholl, François Rivest, Mariam El Mezouar +2
Reinforcement Learning (RL) has shown great potential for autonomous decision-making in the cybersecurity domain, enabling agents to learn through direct environment interaction. H…
cs.CR2022★ 4 cited
Blockchain-based Monitoring for Poison Attack Detection in Decentralized Federated Learning
Ranwa Al Mallah, David Lopez
Federated Learning (FL) is a machine learning technique that addresses the privacy challenges in terms of access rights of local datasets by enabling the training of a model across…