LLMs as Linguistic Chameleons: Decoupling Semantics and Structure for Privacy-Preserving Communication.

arXiv:2609.23193v1 Announce Type: cross Abstract: As Large Language Model (LLM) APIs become increasingly integrated into privacy-sensitive workflows, ensuring inference-time privacy without compromising task utility remains a major challenge. Existing approach