一作ACL 2026Findings· Findings of ACL
C o T rust: Privacy-Preserving Collaboration Between Large and Small Language Models in Trusted Execution Environments
Zhenya Ma · Tingyi Wang · Yongheng Deng · Ziqing Qiao · Yinggui Wang · Tao Wei · Lei Wang · Ju Ren
摘要
Services powered by large language models (LLMs) provide powerful text generation capabilities, but accessing sensitive user inputs raises serious privacy concerns. Trusted Execution Environments (TEEs) provide a secure computation environment, enabling sensitive inputs to be safely processed. Ho...