Search Results for author:
Found 2 papers, 1 papers with code
ConfusionPrompt: Practical Private Inference for Online Large Language Models
In response, we present ConfusionPrompt, a novel private LLM inference framework designed to obfuscate the server by: (i) decomposing the prompt into sub-prompts, and (ii) generating pseudo prompts along with the genuine sub-prompts as input to the online LLM.
Split-and-Denoise: Protect large language model inference with local differential privacy
Large Language Models (LLMs) excel in natural language understanding by capturing hidden semantics in vector space.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
