Artificial Intelligence▼ bearishImpact 7/10
Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning
cs.AI updates on arXiv.org·
✦AI Analysis
A new framework called HAM$^{3}$ has been developed to explore vulnerabilities in multi-modal multi-agent systems (MM-MAS) through hierarchical attacks. The framework reveals significant weaknesses, achieving an Attack Success Rate of up to 78.3%, highlighting the need for improved robustness in these systems.
Key Topics
multi-modal multi-agent systemsHAM$^{3}$GQA benchmarkReAct
Originally reported by cs.AI updates on arXiv.org. Read the full article ↗