Cover Image

Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Contractor, Faizan, Li, Li, Mallah, Ranwa Al
Format:	Preprint
Published:	2025
Subjects:	Multiagent Systems Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Communication Between Heterogeneous Agents in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
by: Popa, Alex, et al.
Published: (2026)

Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning
by: Zhang, Yiyao, et al.
Published: (2026)

Multi-Agent Reinforcement Learning for Maritime Operational Technology Cyber Security
by: Wilson, Alec, et al.
Published: (2024)

Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense
by: Singh, Aditya Vikram, et al.
Published: (2024)

Hierarchical Adversarially-Resilient Multi-Agent Reinforcement Learning for Cyber-Physical Systems Security
by: Alqithami, Saad
Published: (2025)

Quantitative Resilience Modeling for Autonomous Cyber Defense
by: Cadet, Xavier, et al.
Published: (2025)

Scalable Multi-Agent Reinforcement Learning for Residential Load Scheduling under Data Governance
by: Qin, Zhaoming, et al.
Published: (2021)

Large Language Model Integration with Reinforcement Learning to Augment Decision-Making in Autonomous Cyber Operations
by: Tholl, Konur, et al.
Published: (2025)

A Novel Bifurcation Method for Observation Perturbation Attacks on Reinforcement Learning Agents: Load Altering Attacks on a Cyber Physical Power System
by: Broda-Milian, Kiernan, et al.
Published: (2024)

Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning
by: Lee, Sunwoo, et al.
Published: (2025)

Towards Production-Worthy Simulation for Autonomous Cyber Operations
by: Tholl, Konur, et al.
Published: (2025)

Architecture Matters for Multi-Agent Security
by: Hagag, Ben, et al.
Published: (2026)

Multi-Agent Framework for Threat Mitigation and Resilience in AI-Based Systems
by: Foundjem, Armstrong, et al.
Published: (2025)

Information-Theoretic Privacy Control for Sequential Multi-Agent LLM Systems
by: Asif, Sadia, et al.
Published: (2026)

Multi-Agent Actor-Critics in Autonomous Cyber Defense
by: Wang, Mingjun, et al.
Published: (2024)

Many-to-One Adversarial Consensus: Exposing Multi-Agent Collusion Risks in AI-Based Healthcare
by: Bashir, Adeela, et al.
Published: (2025)

When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems
by: Zhang, Lingxi, et al.
Published: (2026)

Out of Sight, Not Out of Mind: Unveiling Latent Attack in Latent-based Multi-Agent Systems
by: Wang, Chenxi, et al.
Published: (2026)

Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
by: Chen, Ziqin, et al.
Published: (2023)

Differentially Private Reinforcement Learning with Self-Play
by: Qiao, Dan, et al.
Published: (2024)

Entity-based Reinforcement Learning for Autonomous Cyber Defence
by: Thompson, Isaac Symes, et al.
Published: (2024)

MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security
by: Avizheh, Sepideh, et al.
Published: (2026)

G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems
by: Wang, Shilong, et al.
Published: (2025)

CuDA2: An approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems
by: Chen, Zhen, et al.
Published: (2024)

Beyond Single-Agent Alignment: Preventing Context-Fragmented Violations in Multi-Agent Systems
by: Wu, Jie, et al.
Published: (2026)

SoK: Security of Autonomous LLM Agents in Agentic Commerce
by: Mao, Qian'ang, et al.
Published: (2026)

Decentralized Multi-Agent System with Trust-Aware Communication
by: Ding, Yepeng, et al.
Published: (2025)

Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization
by: Trillos, Nicolás García, et al.
Published: (2024)

EncGPT: A Multi-Agent Workflow for Dynamic Encryption Algorithms
by: Li, Donghe, et al.
Published: (2025)

Optimizing Day-Ahead Energy Trading with Proximal Policy Optimization and Blockchain
by: Verma, Navneet, et al.
Published: (2025)

CEE: An Inference-Time Jailbreak Defense for Embodied Intelligence via Subspace Concept Rotation
by: Yang, Jirui, et al.
Published: (2025)

Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries
by: Laws, Matthew D., et al.
Published: (2026)

Enhancing the Robustness of QMIX against State-adversarial Attacks
by: Guo, Weiran, et al.
Published: (2023)

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution
by: Shao, Minghao, et al.
Published: (2025)

Optimal Cost Constrained Adversarial Attacks For Multiple Agent Systems
by: Lu, Ziqing, et al.
Published: (2023)

TrinityGuard: A Unified Framework for Safeguarding Multi-Agent Systems
by: Wang, Kai, et al.
Published: (2026)

Towards Transparent and Incentive-Compatible Collaboration in Decentralized LLM Multi-Agent Systems: A Blockchain-Driven Approach
by: Qi, Minfeng, et al.
Published: (2025)

X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents
by: Rahman, Salman, et al.
Published: (2025)

CoTDeceptor:Adversarial Code Obfuscation Against CoT-Enhanced LLM Code Agents
by: Li, Haoyang, et al.
Published: (2025)

Deep Learning for Resilient Adversarial Decision Fusion in Byzantine Networks
by: Kallas, Kassem
Published: (2024)