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In the end of 2022, ChatGPT appeared with a significant impact, marking a rapid proliferation of Large Language Models (LLMs) technology throughout society and a pivotal advancement in AI. While excelling in Natural Language Processing (NLP) tasks, LLMs have also brought forth substantial security challenges that cannot be overlooked. From the security perspective, our paper aims to explore the following questions regarding LLMs: What are the security issues and threats faced by LLMs and what privacy concerns might users encounter when utilizing these LLMs. In this paper, first we introduce recent development in LLMs. Secondly, we define security problems and issues based on different scenarios, uncover the vulnerabilities and give some representative security problems in LLMs.

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Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment

  • 会议论文

  • 发表日期：

    2025年

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  • Ziyin Zhou,
  • Xu Ji,
  • Jianyi Zhang,
  • Zhangchi Zhao,
  • Xiali Hei,
  • Kim-Kwang Raymond Choo

摘要

In the end of 2022, ChatGPT appeared with a significant impact, marking a rapid proliferation of Large Language Models (LLMs) technology throughout society and a pivotal advancement in AI. While excelling in Natural Language Processing (NLP) tasks, LLMs have also brought forth substantial security challenges that cannot be overlooked. From the security perspective, our paper aims to explore the following questions regarding LLMs: What are the security issues and threats faced by LLMs and what privacy concerns might users encounter when utilizing these LLMs. In this paper, first we introduce recent development in LLMs. Secondly, we define security problems and issues based on different scenarios, uncover the vulnerabilities and give some representative security problems in LLMs.