作者位次 #3/6ACL 2026Poster· Natural Language Processing
S hared R equest: Privacy-Preserving Model-Agnostic Inference for Large Language Models
Peihua Mai · Xuanrong Gao · Youlong Ding · Xianglong Du · Wei Liu · Yan Pang
摘要
With the widespread deployment of public large language models (LLMs) such as ChatGPT, protecting user prompt privacy has become an increasingly critical issue. Existing privacy-preserving inference methods sacrifice either utility or efficiency, and often require model-specific modifications tha...