Adanonymizer is a new plug-in enabling users to interactively control the privacy-performance tradeoff when consulting with LLMs, addressing a critical gap in user protection.

• Privacy Paradox: Study (N=221) revealed users frequently disclose sensitive information despite acknowledging risks
• Interactive Control: Users can navigate a trade-off curve to select their preferred balance of anonymization vs. performance
• User Empowerment: Shifts privacy management from fixed solutions to interactive user-driven decisions
• Practical Solution: Addresses real security concerns without sacrificing the quality of LLM outputs

This research provides a critical security advancement for businesses deploying LLMs in sensitive contexts like healthcare, finance, or legal services, where data privacy violations carry significant regulatory and reputational risks.

Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction