Yuanhui Yu

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.