PromptPET: Privacy-Utility Optimized Prompt Obfuscation
Privacy is an important challenge when users interact with AI chatbots, since users may share sensitive information, explicitly or implicitly, and AI chatbots can use this information for user profiling. In this paper, we aim to protect user privacy via a user-side mechanism that transforms sensitive information in a user prompt, while preserving enough information to elicit a useful response from the chatbot. This approach faces an inherent tradeoff between protecting privacy (i.e., avoiding profiling) and preserving utility (i.e., getting personalized and task-specific responses). To that end, we consider, evaluate, and compare four different obfuscation actions, namely redaction, abstr...
| Authors | Ke Yang, Olivia Figueira, Umar Iqbal et al. |
|---|---|
| Primary category | cs.CR |
| Published | 3 July 2026 |
| Last updated at source | 3 July 2026 |
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