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He-Feng Chen

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Review Open access Aug 2025

Data security in large language models: risks, defense, and directions

Large Language Models (LLMs), now a foundation in advancing natural language processing, power applications such as text generation, machine translation, and conversational systems. Despite their transformative potential, these models inherently rely on massive amounts of training data, often collected from diverse and...

Kang Chen, Xiu-Ze Zhou, Yuan-Hui Yu et al. · 2 citations
Review Open access Aug 2026

Data security in large language models: risks, defense, and directions

This survey offers a comprehensive overview of the main data security risks facing LLMs and reviews current defense strategies, including adversarial training, data cleaning, output guardrails, Reinforcement Learning from Human Feedback, data augmentation, and Retrieval-Augmented Generation (RAG)/agent defenses.

Kang Chen, Xiuze Zhou, Yuanhui Yu et al. · 0 citations

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