Feb. 6, 2024, 5:10 a.m. | Tianshi Li Sauvik Das Hao-Ping Lee Dakuo Wang Bingsheng Yao Zhiping Zhang

cs.CR updates on arXiv.org arxiv.org

The emergence of large language models (LLMs), and their increased use in user-facing systems, has led to substantial privacy concerns. To date, research on these privacy concerns has been model-centered: exploring how LLMs lead to privacy risks like memorization, or can be used to infer personal characteristics about people from their content. We argue that there is a need for more research focusing on the human aspect of these privacy issues: e.g., research on how design paradigms for LLMs affect …

age can cs.ai cs.cr cs.hc facing human language language models large led llms people personal privacy privacy concerns privacy risks research risks systems the age

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