PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
Ziqian Zeng†, Jianwei Wang, Junyao Yang*, Zhengdong Lu, Haoran Li, Huiping Zhuang, Cen Chen
- Equal contribution · † Corresponding author
A plug-and-play privacy-preserving inference framework removes sensitive spans before sending inputs to an LLM service. Protected restoration vectors recover useful information through activation steering without retraining the model.