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Dzung Pham

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Preprint Sep 2026

Can Prompt Anonymity Protect Your Identity From LLM Providers?

User conversations with large language models (LLMs) often contain highly sensitive personal information that can be exploited by LLM providers to create detailed user dossiers, enable targeted advertising, and train more powerful models. To protect user privacy, anonymizing LLM proxies have emerged as a practical solu...

Dzung Pham, Dillon Sheils, Naina Singh et al. · 0 citations

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