Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems
Fuente:
arXiv
Guardado en:
| Autores principales: | Ma, Yue, Yang, Ziyuan, Zhang, Yi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Whispers in the Noise: Surrogate-Guided Concept Awakening via a Multi-Agent Framework
por: Sun, Mengyu, et al.
Publicado: (2026)
por: Sun, Mengyu, et al.
Publicado: (2026)
Zero-Sacrifice Persistent-Robustness Adversarial Defense for Pre-Trained Encoders
por: Lei, Zhuxin, et al.
Publicado: (2026)
por: Lei, Zhuxin, et al.
Publicado: (2026)
PrismAgent: Illuminating Harm in Memes via a Zero-Shot Interpretable Multi-Agent Framework
por: Ding, Zihan, et al.
Publicado: (2026)
por: Ding, Zihan, et al.
Publicado: (2026)
AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems
por: Zhang, Boxuan, et al.
Publicado: (2026)
por: Zhang, Boxuan, et al.
Publicado: (2026)
From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework
por: Ding, Zihan, et al.
Publicado: (2026)
por: Ding, Zihan, et al.
Publicado: (2026)
Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models
por: Li, Yige, et al.
Publicado: (2024)
por: Li, Yige, et al.
Publicado: (2024)
Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention
por: Yang, Min, et al.
Publicado: (2023)
por: Yang, Min, et al.
Publicado: (2023)
DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands
por: Lan, Fengbo, et al.
Publicado: (2023)
por: Lan, Fengbo, et al.
Publicado: (2023)
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges
por: Zhou, Ziyuan, et al.
Publicado: (2023)
por: Zhou, Ziyuan, et al.
Publicado: (2023)
Dr-CiK: A Testbed for Foresight-Driven Agents
por: Tang, Yihong, et al.
Publicado: (2026)
por: Tang, Yihong, et al.
Publicado: (2026)
Contextualized Privacy Defense for LLM Agents
por: Wen, Yule, et al.
Publicado: (2026)
por: Wen, Yule, et al.
Publicado: (2026)
I Don't Know You, But I Can Catch You: Real-Time Defense against Diverse Adversarial Patches for Object Detectors
por: Lin, Zijin, et al.
Publicado: (2024)
por: Lin, Zijin, et al.
Publicado: (2024)
TCP-MCP: Landscape-Guided Co-Evolution of Prompts and Communication Topologies for Multi-Agent Systems
por: Ding, Yi, et al.
Publicado: (2026)
por: Ding, Yi, et al.
Publicado: (2026)
Current Agents Fail to Leverage World Model as Tool for Foresight
por: Qian, Cheng, et al.
Publicado: (2026)
por: Qian, Cheng, et al.
Publicado: (2026)
SAJA: A State-Action Joint Attack Framework on Multi-Agent Deep Reinforcement Learning
por: Guo, Weiqi, et al.
Publicado: (2025)
por: Guo, Weiqi, et al.
Publicado: (2025)
Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL
por: Nunes, Manuel Serra, et al.
Publicado: (2024)
por: Nunes, Manuel Serra, et al.
Publicado: (2024)
Plan Before Search: Search Agents Need Plan
por: Qian, Zhipeng, et al.
Publicado: (2026)
por: Qian, Zhipeng, et al.
Publicado: (2026)
Probe Before You Edit: Probing-Guided Molecular Optimization for LLM Agents in Structure-Based Drug Design
por: Yang, Zaifei, et al.
Publicado: (2026)
por: Yang, Zaifei, et al.
Publicado: (2026)
Agent Audit: A Security Analysis System for LLM Agent Applications
por: Zhang, Haiyue, et al.
Publicado: (2026)
por: Zhang, Haiyue, et al.
Publicado: (2026)
Defensive Dual Masking for Robust Adversarial Defense
por: Yang, Wangli, et al.
Publicado: (2024)
por: Yang, Wangli, et al.
Publicado: (2024)
AgentAsk: Multi-Agent Systems Need to Ask
por: Lin, Bohan, et al.
Publicado: (2025)
por: Lin, Bohan, et al.
Publicado: (2025)
In-Context Defense in Computer Agents: An Empirical Study
por: Yang, Pei, et al.
Publicado: (2025)
por: Yang, Pei, et al.
Publicado: (2025)
Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction
por: Jiang, Xia, et al.
Publicado: (2026)
por: Jiang, Xia, et al.
Publicado: (2026)
ForeAct: Steering Your VLA with Efficient Visual Foresight Planning
por: Zhang, Zhuoyang, et al.
Publicado: (2026)
por: Zhang, Zhuoyang, et al.
Publicado: (2026)
EduPlanner: LLM-Based Multi-Agent Systems for Customized and Intelligent Instructional Design
por: Zhang, Xueqiao, et al.
Publicado: (2025)
por: Zhang, Xueqiao, et al.
Publicado: (2025)
The Autonomy Tax: Defense Training Breaks LLM Agents
por: Li, Shawn, et al.
Publicado: (2026)
por: Li, Shawn, et al.
Publicado: (2026)
VDSAgents: A PCS-Guided Multi-Agent System for Veridical Data Science Automation
por: Jiang, Yunxuan, et al.
Publicado: (2025)
por: Jiang, Yunxuan, et al.
Publicado: (2025)
ParaCook: On Time-Efficient Planning for Multi-Agent Systems
por: Zhang, Shiqi, et al.
Publicado: (2025)
por: Zhang, Shiqi, et al.
Publicado: (2025)
Beyond Playtesting: A Generative Multi-Agent Simulation System for Massively Multiplayer Online Games
por: Zhang, Ran, et al.
Publicado: (2025)
por: Zhang, Ran, et al.
Publicado: (2025)
Compass: Navigating Global Marine Lead Data Integration through Expert-Guided LLM Agent
por: Liu, Yiming, et al.
Publicado: (2026)
por: Liu, Yiming, et al.
Publicado: (2026)
Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO
por: Hong, Haoyang, et al.
Publicado: (2025)
por: Hong, Haoyang, et al.
Publicado: (2025)
Targeted Downstream-Agnostic Attack
por: Lei, Zhuxin, et al.
Publicado: (2026)
por: Lei, Zhuxin, et al.
Publicado: (2026)
Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction
por: Shen, Xu, et al.
Publicado: (2025)
por: Shen, Xu, et al.
Publicado: (2025)
From Control to Foresight: Simulation as a New Paradigm for Human-Agent Collaboration
por: He, Gaole, et al.
Publicado: (2026)
por: He, Gaole, et al.
Publicado: (2026)
Rollout Cards: A Reproducibility Standard for Agent Research
por: Masters, Charlie, et al.
Publicado: (2026)
por: Masters, Charlie, et al.
Publicado: (2026)
Multi-Agent Actor-Critics in Autonomous Cyber Defense
por: Wang, Mingjun, et al.
Publicado: (2024)
por: Wang, Mingjun, et al.
Publicado: (2024)
ArchPilot: A Proxy-Guided Multi-Agent Approach for Machine Learning Engineering
por: Yuan, Zhuowen, et al.
Publicado: (2025)
por: Yuan, Zhuowen, et al.
Publicado: (2025)
Decoding the Human Factor: High Fidelity Behavioral Prediction for Strategic Foresight
por: Yellin, Ben, et al.
Publicado: (2026)
por: Yellin, Ben, et al.
Publicado: (2026)
Thinking Ahead: Foresight Intelligence in MLLMs and World Models
por: Gong, Zhantao, et al.
Publicado: (2025)
por: Gong, Zhantao, et al.
Publicado: (2025)
CleverCatch: A Knowledge-Guided Weak Supervision Model for Fraud Detection
por: Mozafari, Amirhossein, et al.
Publicado: (2025)
por: Mozafari, Amirhossein, et al.
Publicado: (2025)
Ejemplares similares
-
Whispers in the Noise: Surrogate-Guided Concept Awakening via a Multi-Agent Framework
por: Sun, Mengyu, et al.
Publicado: (2026) -
Zero-Sacrifice Persistent-Robustness Adversarial Defense for Pre-Trained Encoders
por: Lei, Zhuxin, et al.
Publicado: (2026) -
PrismAgent: Illuminating Harm in Memes via a Zero-Shot Interpretable Multi-Agent Framework
por: Ding, Zihan, et al.
Publicado: (2026) -
AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems
por: Zhang, Boxuan, et al.
Publicado: (2026) -
From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework
por: Ding, Zihan, et al.
Publicado: (2026)