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Demystifying the Privacy-Utility Trade-off in LLM Interactions

This story is from 2026-09-12. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.10992v1 Announce Type: new Abstract: The integration of Large Language Models into daily tasks relies on context-rich instructions, inevitably exposing sensitive user information. Current privacy-preserving methods typically employ context-agnostic static rules, causing severe utility de…

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  1. 2026-09-12 04:00 · arXiv cs.AI
    Demystifying the Privacy-Utility Trade-off in LLM Interactions

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