Conference: Workshop on LLM for Network Security

会议：网络安全法学硕士研讨会

• 批准号: 2409560
• 负责人: Quanyan Zhu
• 金额: $ 5万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-04-15 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2409560&HistoricalAwards=false
• 关键词: Conference; Workshop; LLM; Network; Security

The project aims to bring together experts from diverse disciplines to explore recent advances in foundation models and large language models (LLMs) and their pivotal roles in shaping the future of network security technologies. Recent breakthroughs in artificial intelligence demonstrate significant potential in various domains of cybersecurity, including malware detection, software testing, forensic analysis, trust evaluation, and automated defense. The workshop is envisioned as a hub for interdisciplinary discourse and collaboration, creating a forward-thinking research agenda. It will delve into three key domains: LLM applications, network operations, and the human dimension of cybersecurity, addressing urgent topics such as trust, ethics, and the combating of misinformation. Given the evolving threats and growing inter-connectivity of networks, the integration of AI and cybersecurity technologies is paramount for national security. To this end, there is a need to actively involve a multidisciplinary community to devise innovative solutions to emerging challenges.The workshop aims to catalyze vibrant discussions, with participants presenting cutting-edge research and engaging in substantive dialogues about the opportunities and obstacles in their respective fields. The organizers will produce a comprehensive report summarizing the foundations and challenges of foundation models/LLM and their applications to network security. This report will align the advances in AI with practical security applications and outline a roadmap for future AI research in cybersecurity. Through collaboration and knowledge exchange, this workshop seeks to provide stakeholders with actionable insights to reshape the trajectory of network security research, facilitate the development of resilient defenses, and promote a sustainable digital ecosystem.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目旨在汇集来自不同学科的专家，探讨基础模型和大型语言模型（LLM）的最新进展及其在塑造网络安全技术未来方面的关键作用。人工智能的最新突破在网络安全的各个领域展示了巨大的潜力，包括恶意软件检测，软件测试，取证分析，信任评估和自动防御。该研讨会被设想为跨学科话语和合作的中心，创造一个前瞻性的研究议程。它将深入研究三个关键领域：LLM应用程序，网络运营和网络安全的人文层面，解决信任，道德和打击错误信息等紧迫主题。鉴于不断变化的威胁和网络互联性的不断增长，人工智能和网络安全技术的整合对国家安全至关重要。为此，需要多学科社区积极参与，为新出现的挑战制定创新的解决方案，研讨会旨在促进活跃的讨论，与会者介绍前沿研究，并就各自领域的机遇和障碍进行实质性对话。组织者将制作一份综合报告，总结基础模型/LLM及其在网络安全中的应用的基础和挑战。该报告将使人工智能的进步与实际的安全应用保持一致，并概述了未来人工智能在网络安全方面的研究路线图。通过合作和知识交流，该研讨会旨在为利益相关者提供可操作的见解，以重塑网络安全研究的轨迹，促进弹性防御的发展，并促进可持续的数字生态系统。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响力审查标准进行评估，被认为值得支持。