GS-Chaff: Multi-Agent Prompt-Level Semantic Chaffing for Privacy-Preserving LLM Inference
Generative semantic chaffing (GS-Chaff), a training-free multi-agent framework for privacy-preserving LLM inference over natural-language text queries that hides the user’s true intent among semantically plausible chaff queries, is proposed.
Quan Zhou, Zhi-Cheng Wang, Zhengjun Yue et al.
· Italian National Conference... · 0 citations