Saved in:
| Main Authors: | Xu, Tianxiang, Wen, Zhichao, Zhao, Xinyu, Wang, Jun, Li, Yan, Liu, Chang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.07363 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning
by: Zhang, Yiyao, et al.
Published: (2026)
by: Zhang, Yiyao, et al.
Published: (2026)
GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
by: Xu, Tianxiang, et al.
Published: (2025)
by: Xu, Tianxiang, et al.
Published: (2025)
Multi-Agent Actor-Critics in Autonomous Cyber Defense
by: Wang, Mingjun, et al.
Published: (2024)
by: Wang, Mingjun, et al.
Published: (2024)
Large Language Model-Based Reward Design for Deep Reinforcement Learning-Driven Autonomous Cyber Defense
by: Mukherjee, Sayak, et al.
Published: (2025)
by: Mukherjee, Sayak, et al.
Published: (2025)
The Path To Autonomous Cyber Defense
by: Oesch, Sean, et al.
Published: (2024)
by: Oesch, Sean, et al.
Published: (2024)
PoolFlip: A Multi-Agent Reinforcement Learning Security Environment for Cyber Defense
by: Cadet, Xavier, et al.
Published: (2025)
by: Cadet, Xavier, et al.
Published: (2025)
Learning to Communicate in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
by: Contractor, Faizan, et al.
Published: (2025)
by: Contractor, Faizan, et al.
Published: (2025)
Quantitative Resilience Modeling for Autonomous Cyber Defense
by: Cadet, Xavier, et al.
Published: (2025)
by: Cadet, Xavier, et al.
Published: (2025)
Firewall Regulatory Networks for Autonomous Cyber Defense
by: Duan, Qi, et al.
Published: (2025)
by: Duan, Qi, et al.
Published: (2025)
Automated Cyber Defense with Generalizable Graph-based Reinforcement Learning Agents
by: King, Isaiah J., et al.
Published: (2025)
by: King, Isaiah J., et al.
Published: (2025)
Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense
by: Singh, Aditya Vikram, et al.
Published: (2024)
by: Singh, Aditya Vikram, et al.
Published: (2024)
Evaluating Reinforcement Learning Agents for Autonomous Cyber Defence
by: Abby Morris, et al.
Published: (2025)
by: Abby Morris, et al.
Published: (2025)
Learning Communication Between Heterogeneous Agents in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence
by: Popa, Alex, et al.
Published: (2026)
by: Popa, Alex, et al.
Published: (2026)
TRACE: A Multi-Agent System for Autonomous Physical Reasoning for Seismology
by: Liu, Feng, et al.
Published: (2026)
by: Liu, Feng, et al.
Published: (2026)
ACDZero: MCTS Agent for Mastering Automated Cyber Defense
by: Li, Yu, et al.
Published: (2026)
by: Li, Yu, et al.
Published: (2026)
Towards Type Agnostic Cyber Defense Agents
by: Galinkin, Erick, et al.
Published: (2024)
by: Galinkin, Erick, et al.
Published: (2024)
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
by: Lukyanov, Kirill, et al.
Published: (2025)
by: Lukyanov, Kirill, et al.
Published: (2025)
Large Language Models are Autonomous Cyber Defenders
by: Castro, Sebastián R., et al.
Published: (2025)
by: Castro, Sebastián R., et al.
Published: (2025)
AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning
by: Lew, Jeric, et al.
Published: (2025)
by: Lew, Jeric, et al.
Published: (2025)
Knowledge Tagging with Large Language Model based Multi-Agent System
by: Li, Hang, et al.
Published: (2024)
by: Li, Hang, et al.
Published: (2024)
KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning
by: Feng, Kun, et al.
Published: (2026)
by: Feng, Kun, et al.
Published: (2026)
Large Language Models are In-context Teachers for Knowledge Reasoning
by: Zhao, Jiachen, et al.
Published: (2023)
by: Zhao, Jiachen, et al.
Published: (2023)
Large Language Model Integration with Reinforcement Learning to Augment Decision-Making in Autonomous Cyber Operations
by: Tholl, Konur, et al.
Published: (2025)
by: Tholl, Konur, et al.
Published: (2025)
Extension-ranking Semantics for Abstract Argumentation Preprint
by: Skiba, Kenneth, et al.
Published: (2025)
by: Skiba, Kenneth, et al.
Published: (2025)
Towards Multi-Agent Autonomous Reasoning in Hydrodynamics
by: Zhao, Jinpai, et al.
Published: (2026)
by: Zhao, Jinpai, et al.
Published: (2026)
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
by: Guo, Siyuan, et al.
Published: (2024)
by: Guo, Siyuan, et al.
Published: (2024)
Designing Robust Cyber-Defense Agents with Evolving Behavior Trees
by: Potteiger, Nicholas, et al.
Published: (2024)
by: Potteiger, Nicholas, et al.
Published: (2024)
Stable Agentic Control: Tool-Mediated LLM Architecture for Autonomous Cyber Defense
by: Prinos, Kerri, et al.
Published: (2026)
by: Prinos, Kerri, et al.
Published: (2026)
Sparse Threats, Focused Defense: Criticality-Aware Robust Reinforcement Learning for Safe Autonomous Driving
by: Wei, Qi, et al.
Published: (2026)
by: Wei, Qi, et al.
Published: (2026)
Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks
by: Xu, Minrui, et al.
Published: (2025)
by: Xu, Minrui, et al.
Published: (2025)
Autonomous Building Cyber-Physical Systems Using Decentralized Autonomous Organizations, Digital Twins, and Large Language Model
by: Ly, Reachsak, et al.
Published: (2024)
by: Ly, Reachsak, et al.
Published: (2024)
Hierarchical Adversarially-Resilient Multi-Agent Reinforcement Learning for Cyber-Physical Systems Security
by: Alqithami, Saad
Published: (2025)
by: Alqithami, Saad
Published: (2025)
Strategic Cyber Defense via Reinforcement Learning-Guided Combinatorial Auctions
by: Pham, Mai, et al.
Published: (2025)
by: Pham, Mai, et al.
Published: (2025)
Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning
by: Goel, Diksha, et al.
Published: (2024)
by: Goel, Diksha, et al.
Published: (2024)
Reinforced Efficient Reasoning via Semantically Diverse Exploration
by: Zhao, Ziqi, et al.
Published: (2026)
by: Zhao, Ziqi, et al.
Published: (2026)
Defenses at Odds: Measuring and Explaining Defense Conflicts in Large Language Models
by: Meng, Xiangtao, et al.
Published: (2026)
by: Meng, Xiangtao, et al.
Published: (2026)
Multi‐Agent Reinforcement Learning for Cyber Defence Transferability and Scalability
by: Andrew Thomas, et al.
Published: (2025)
by: Andrew Thomas, et al.
Published: (2025)
Markov Potential Game and Multi-Agent Reinforcement Learning for Autonomous Driving
by: Yan, Huiwen, et al.
Published: (2026)
by: Yan, Huiwen, et al.
Published: (2026)
HoneyTrap: Deceiving Large Language Model Attackers to Honeypot Traps with Resilient Multi-Agent Defense
by: Li, Siyuan, et al.
Published: (2026)
by: Li, Siyuan, et al.
Published: (2026)
A Survey on Large Language Model based Autonomous Agents
by: Wang, Lei, et al.
Published: (2023)
by: Wang, Lei, et al.
Published: (2023)
Similar Items
-
Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning
by: Zhang, Yiyao, et al.
Published: (2026) -
GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
by: Xu, Tianxiang, et al.
Published: (2025) -
Multi-Agent Actor-Critics in Autonomous Cyber Defense
by: Wang, Mingjun, et al.
Published: (2024) -
Large Language Model-Based Reward Design for Deep Reinforcement Learning-Driven Autonomous Cyber Defense
by: Mukherjee, Sayak, et al.
Published: (2025) -
The Path To Autonomous Cyber Defense
by: Oesch, Sean, et al.
Published: (2024)