Balancing Privacy and Robustness in Prompt Learning for Large Language Models

Balancing Privacy and Robustness in Prompt Learning for Large Language Models

This paper tackles the critical issue of privacy in Natural Language Processing (NLP) systems that process sensitive data by introducing a novel framework combining differential privacy and adversarial training. The proposed solution ensures formal privacy guarantees by minimizing the influence of i...

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Bibliographic Details
Main Authors: Chiyu Shi, Junyu Su, Chiawei Chu, Baoping Wang, Duanyang Feng
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Mathematics
Subjects:
privacy protextion
large language model
prompt learning
Online Access:https://www.mdpi.com/2227-7390/12/21/3359

Internet

https://www.mdpi.com/2227-7390/12/21/3359

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