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20232026
most citedUnderstanding the concerns and choices of public when using large language models for healthcare

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cs.CR2024

LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models

Qin Yang, Meisam Mohammad, Han Wang +5

Differentially Private Stochastic Gradient Descent (DP-SGD) and its variants have been proposed to ensure rigorous privacy for fine-tuning large-scale pre-trained language models.…