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SharedRequest: A Privacy-Preserving Inference Scheme for Large Language Models Based on Model-Agnostic Discrimination Mechanism

SharedRequest proposes an innovative privacy-preserving inference framework that identifies and filters sensitive information from user queries before they enter large language models using a model-agnostic discrimination method, achieving a balance between data privacy and model utility.

隐私保护大语言模型模型无关敏感信息识别推理安全数据脱敏RoBERTaNLP安全
Published 2026-05-03 07:04Recent activity 2026-05-03 07:18Estimated read 1 min
SharedRequest: A Privacy-Preserving Inference Scheme for Large Language Models Based on Model-Agnostic Discrimination Mechanism
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Section 01

导读 / 主楼:SharedRequest: A Privacy-Preserving Inference Scheme for Large Language Models Based on Model-Agnostic Discrimination Mechanism

Introduction / Main Floor: SharedRequest: A Privacy-Preserving Inference Scheme for Large Language Models Based on Model-Agnostic Discrimination Mechanism

SharedRequest proposes an innovative privacy-preserving inference framework that identifies and filters sensitive information from user queries before they enter large language models using a model-agnostic discrimination method, achieving a balance between data privacy and model utility.