Cover Image

TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kavathekar, Ishan, Jain, Hemang, Rathod, Ameya, Kumaraguru, Ponnurangam, Ganu, Tanuja
Format:	Preprint
Published:	2025
Subjects:	Multiagent Systems Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exposing Weak Links in Multi-Agent Systems under Adversarial Prompting
by: Arora, Nirmit, et al.
Published: (2025)

I Can't Believe It's Corrupt: Evaluating Corruption in Multi-Agent Governance Systems
by: P, Vedanta S, et al.
Published: (2026)

Risk Analysis Techniques for Governed LLM-based Multi-Agent Systems
by: Reid, Alistair, et al.
Published: (2025)

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems
by: Chen, Kai, et al.
Published: (2025)

Insider Attacks in Multi-Agent LLM Consensus Systems
by: Sun, Xiaolin, et al.
Published: (2026)

LLM Multi-Agent Systems: Challenges and Open Problems
by: Han, Shanshan, et al.
Published: (2024)

Conjunctive Prompt Attacks in Multi-Agent LLM Systems
by: Arif, Nokimul Hasan, et al.
Published: (2026)

Interactional Fairness in LLM Multi-Agent Systems: An Evaluation Framework
by: Binkyte, Ruta
Published: (2025)

Games Agents Play: Towards Transactional Analysis in LLM-based Multi-Agent Systems
by: Zamojska, Monika, et al.
Published: (2025)

Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling
by: Kavathekar, Ishan, et al.
Published: (2025)

Exploring Advanced LLM Multi-Agent Systems Based on Blackboard Architecture
by: Han, Bochen, et al.
Published: (2025)

Position: Towards a Responsible LLM-empowered Multi-Agent Systems
by: Hu, Jinwei, et al.
Published: (2025)

Mesh Memory Protocol: Semantic Infrastructure for Multi-Agent LLM Systems
by: Xu, Hongwei
Published: (2026)

Beyond Single-Agent Safety: A Taxonomy of Risks in LLM-to-LLM Interactions
by: Bisconti, Piercosma, et al.
Published: (2025)

Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control
by: Zhang, Yan, et al.
Published: (2025)

Who's the Mole? Modeling and Detecting Intention-Hiding Malicious Agents in LLM-Based Multi-Agent Systems
by: Xie, Yizhe, et al.
Published: (2025)

Enhancing Robustness of LLM-Driven Multi-Agent Systems through Randomized Smoothing
by: Hu, Jinwei, et al.
Published: (2025)

Herd Behavior: Investigating Peer Influence in LLM-based Multi-Agent Systems
by: Cho, Young-Min, et al.
Published: (2025)

HALO: Hierarchical Autonomous Logic-Oriented Orchestration for Multi-Agent LLM Systems
by: Hou, Zhipeng, et al.
Published: (2025)

COOP$^2$: Defining, Observing, and Repairing Cooperation in LLM Multi-Agent Systems
by: Yang, Hanqing, et al.
Published: (2026)

Evaluating Theory of Mind and Internal Beliefs in LLM-Based Multi-Agent Systems
by: Kostka, Adam, et al.
Published: (2026)

Auditing Cascading Risks in Multi-Agent Systems via Semantic-Geometric Co-evolution
by: Luo, Zixun, et al.
Published: (2026)

LLM Constitutional Multi-Agent Governance
by: de Curtò, J., et al.
Published: (2026)

LLM-Agent-Controller: A Universal Multi-Agent Large Language Model System as a Control Engineer
by: Zahedifar, Rasoul, et al.
Published: (2025)

Know the Ropes: A Heuristic Strategy for LLM-based Multi-Agent System Design
by: Li, Zhenkun, et al.
Published: (2025)

Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems
by: Shen, Xu, et al.
Published: (2025)

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems
by: Hao, Zhezheng, et al.
Published: (2026)

MAS-on-the-Fly: Dynamic Adaptation of LLM-based Multi-Agent Systems at Test Time
by: Liu, Guangyi, et al.
Published: (2026)

Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic Web
by: Nie, Xiaohang, et al.
Published: (2026)

AgentSchool: An LLM-Powered Multi-Agent Simulation for Education
by: Ye, Yulei, et al.
Published: (2026)

AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
by: Luo, Yinyi, et al.
Published: (2026)

Do Agent Societies Develop Intellectual Elites? The Hidden Power Laws of Collective Cognition in LLM Multi-Agent Systems
by: Venkatesh, Kavana, et al.
Published: (2026)

GAMBIT: A Three-Mode Benchmark for Adversarial Robustness in Multi-Agent LLM Collectives
by: Mercier, Alexandre Le, et al.
Published: (2026)

The Role of Social Learning and Collective Norm Formation in Fostering Cooperation in LLM Multi-Agent Systems
by: Gupta, Prateek, et al.
Published: (2025)

Silo-Bench: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems
by: Zhang, Yuzhe, et al.
Published: (2026)

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems
by: Wu, Shanglin, et al.
Published: (2026)

Inverse Attention Agents for Multi-Agent Systems
by: Long, Qian, et al.
Published: (2024)

An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring
by: Ebrahimi, Sana, et al.
Published: (2025)

Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025)

CREW-WILDFIRE: Benchmarking Agentic Multi-Agent Collaborations at Scale
by: Hyun, Jonathan, et al.
Published: (2025)