AIBearisharXiv – CS AI · 9h ago7/10
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Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs
Researchers introduce MAMA, a framework measuring how network topology affects private information leakage in multi-agent LLM systems. The study demonstrates that denser connectivity and shorter distances between attackers and targets significantly increase memory leakage, with practical implications for securing distributed AI systems.