arXiv:2501.10900cs.CYcs.AI2025-01

教学生用生成式AI解决安全问题,重塑未来安全教育。

A Generative Security Application Engineering Curriculum

  • 重构安全教育,聚焦人类优势领域
  • 展示如何用生成式AI自动化安全任务
  • 适合准备迎接AI变革的安全专业学生

生成式AI和大型语言模型(LLMs)正在通过自动化许多传统上需人工完成的任务,深刻改变安全领域的实践方式。面对这一技术变革,培养未来安全人才至关重要。本文提出一项初步的课程与教学大纲,旨在指导学生如何将生成式AI应用于解决实际安全问题。通过重新定位安全教育,突出人类在特定领域的优势,并引导学生利用自动化技术处理其余部分,我们期望使安全教育更贴合生成式AI的发展趋势。

原文摘要 · Abstract (English)

Generative AI and large language models (LLMs) are transforming security by automating many tasks being performed manually. With such automation changing the practice of security as we know it, it is imperative that we prepare future students for the technology landscape they will ultimately face. Towards this end, we describe an initial curriculum and course that attempts to show students how to apply generative AI in order to solve problems in security. By refocusing security education and training on aspects uniquely suited for humans and showing students how to leverage automation for the rest, we believe we can better align security education practices with generative AI as it evolves.

安全教育生成式AI课程设计

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