Jan. 29, 2024, 2:10 a.m. | Yifan Yao, Jinhao Duan, Kaidi Xu, Yuanfang Cai, Zhibo Sun, Yue Zhang

cs.CR updates on arXiv.org arxiv.org

Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language
comprehension, human-like text generation capabilities, contextual awareness,
and robust problem-solving skills, making them invaluable in various domains
(e.g., search engines, customer support, translation). In the meantime, LLMs
have also gained traction in the security community, revealing security
vulnerabilities and showcasing their potential in security-related tasks. This
paper explores the intersection of LLMs with security and privacy.
Specifically, we investigate how …

arxiv awareness bad bard capabilities chatgpt domains good human language language models large large language model llm llms making natural natural language privacy problem problem-solving search search engines security skills survey text the good understanding

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