Image de couverture de livre

Entity-based Reinforcement Learning for Autonomous Cyber Defence

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Thompson, Isaac Symes, Caron, Alberto, Hicks, Chris, Mavroudis, Vasilios
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

An Attentive Graph Agent for Topology-Adaptive Cyber Defence
par: Sandoval, Ilya Orson, et autres
Publié: (2025)

Less is more? Rewards in RL for Cyber Defence
par: Bates, Elizabeth, et autres
Publié: (2025)

Autonomous Network Defence using Reinforcement Learning
par: Foley, Myles, et autres
Publié: (2024)

Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning
par: Vyas, Sanyam, et autres
Publié: (2025)

Mitigating Deep Reinforcement Learning Backdoors in the Neural Activation Space
par: Vyas, Sanyam, et autres
Publié: (2024)

Beyond Rewards in Reinforcement Learning for Cyber Defence
par: Bates, Elizabeth, et autres
Publié: (2026)

CybORG++: An Enhanced Gym for the Development of Autonomous Cyber Agents
par: Emerson, Harry, et autres
Publié: (2024)

DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift
par: McFadden, Shae, et autres
Publié: (2025)

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity
par: McFadden, Shae, et autres
Publié: (2026)

Building Better Environments for Autonomous Cyber Defence
par: Hicks, Chris, et autres
Publié: (2026)

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
par: Contractor, Faizan, et autres
Publié: (2025)

On Efficient Bayesian Exploration in Model-Based Reinforcement Learning
par: Caron, Alberto, et autres
Publié: (2025)

HonestCyberEval: An AI Cyber Risk Benchmark for Automated Software Exploitation
par: Ristea, Dan, et autres
Publié: (2024)

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems
par: Kolicic, Benjamin, et autres
Publié: (2024)

Learning Communication Between Heterogeneous Agents in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
par: Popa, Alex, et autres
Publié: (2026)

A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective
par: Caron, Alberto, et autres
Publié: (2024)

Towards Causal Model-Based Policy Optimization
par: Caron, Alberto, et autres
Publié: (2025)

Towards a Generalisable Cyber Defence Agent for Real-World Computer Networks
par: Dudman, Tim, et autres
Publié: (2025)

Zero-Trust Network Access (ZTNA)
par: Mavroudis, Vasilios
Publié: (2024)

What if we could hot swap our Biometrics?
par: Crowcroft, Jon, et autres
Publié: (2025)

Analysis of Publicly Accessible Operational Technology and Associated Risks
par: Rodda, Matthew, et autres
Publié: (2025)

Quantifying Mix Network Privacy Erosion with Generative Models
par: Mavroudis, Vasilios, et autres
Publié: (2025)

Automated Cyber Defense with Generalizable Graph-based Reinforcement Learning Agents
par: King, Isaiah J., et autres
Publié: (2025)

Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning
par: Zhang, Yiyao, et autres
Publié: (2026)

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs
par: Abuadbba, Alsharif, et autres
Publié: (2025)

Evaluating Generalization Mechanisms in Autonomous Cyber Attack Agents
par: Lukáš, Ondřej, et autres
Publié: (2026)

Referential Security as a New Paradigm for AI Evaluations
par: Ristea, Dan, et autres
Publié: (2026)

Large Language Model Integration with Reinforcement Learning to Augment Decision-Making in Autonomous Cyber Operations
par: Tholl, Konur, et autres
Publié: (2025)

Interpreting Agent Behaviors in Reinforcement-Learning-Based Cyber-Battle Simulation Platforms
par: Claypoole, Jared, et autres
Publié: (2025)

Multi-Objective Reinforcement Learning for Automated Resilient Cyber Defence
par: O'Driscoll, Ross, et autres
Publié: (2024)

Advancing Autonomous Incident Response: Leveraging LLMs and Cyber Threat Intelligence
par: Tellache, Amine, et autres
Publié: (2025)

Adaptive Federated Learning Defences via Trust-Aware Deep Q-Networks
par: Palit, Vedant
Publié: (2025)

Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents
par: Goel, Diksha, et autres
Publié: (2025)

Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs
par: Davies, Xander, et autres
Publié: (2025)

Using Graph Theory for Improving Machine Learning-based Detection of Cyber Attacks
par: Zonneveld, Giacomo, et autres
Publié: (2024)

Secure Control Systems for Autonomous Quadrotors against Cyber-Attacks
par: Belkadi, Samuel
Publié: (2024)

Interpreting Adversarial Attacks and Defences using Architectures with Enhanced Interpretability
par: Rao, Akshay G, et autres
Publié: (2025)

Quantitative Resilience Modeling for Autonomous Cyber Defense
par: Cadet, Xavier, et autres
Publié: (2025)

Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense
par: Singh, Aditya Vikram, et autres
Publié: (2024)

Applying Action Masking and Curriculum Learning Techniques to Improve Data Efficiency and Overall Performance in Operational Technology Cyber Security using Reinforcement Learning
par: Wilson, Alec, et autres
Publié: (2024)