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privacy-leaks

topic1 events
papersTODAY 04:00 UTC

Paper proposes information flow control to limit privacy leaks in LLM agents

A new arXiv paper examines how personal AI agents built on large language models can leak private user data when they handle sensitive communications. The authors propose applying information flow control so that an agent's decisions about what to share are constrained by explicit privacy rules rather than left to the model. The work combines an analysis of the leakage risk with mitigation techniques.

privacy/agents/safety/research