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Got a Secret? LLM Agents Can't Keep It: Evaluating Privacy in Multi-Agent Systems

cs.AI updates on arXiv.org·
AI Analysis

A new study reveals that multi-agent AI systems are prone to significant privacy violations, with sensitive information leakage rates increasing dramatically in social contexts. This highlights the inadequacy of current safety benchmarks that evaluate AI in isolation, suggesting a need for improved privacy safeguards in deployed AI agents.

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OpenAILLM agentsMoltbookCIMemories

Originally reported by cs.AI updates on arXiv.org. Read the full article ↗

Got a Secret? LLM Agents Can't Keep It: Evaluating Privacy in Multi-Agent Systems | AI Crypto Daily Wire