Conference: Resilient Cooperative AI/ML in Compromised Environments

会议：受损环境中的弹性协作 AI/ML

• 批准号: 2317987
• 负责人: Daniel Wolf
• 金额: $ 19.79万
• 依托单位: Cyber Pack Ventures, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2317987&HistoricalAwards=false
• 关键词: Conference; Resilient; Cooperative; AI; ML

The workshop series, Computational Cybersecurity in Compromised Environments (C3E), explores the impact of recent technological advances and innovations in cyber-physical systems that must operate in environments that might themselves be hazardous and contested spaces. This project is part of the C3E workshop series, known as the “Challenge Problems”, where students as members of teams, mentored by researchers from government, industry and academia, conduct novel case studies, motivated by the themes of the workshop. These special studies are structured to provide insights into the challenges of adaption and adoption of new technologies and their implications for system engineering, operations, behaviors, and what is knowable.Artificial Intelligence / Machine Learning (AI/ML) technologies are increasingly part of a broad range of systems and a current subject of great interest and potentially considerable benefit to society yet, these new systems are raising profound concerns for system safety, dependability, security, resilience, and the evolving relationship between humans and technology. The Challenge Problems for this workshop focus on the role of AI/ML in critical infrastructure systems operating in these compromised environments where decision support involves human teaming and where resilience is seen through the lens of system risk and risk mitigation. Topics for the challenge problems are prepared largely by students in cooperation with their faculty advisors and mentors. The topics are reviewed by a subcommittee of the workshop program and organizing committees. Those teams whose topics are selected present the results of their year-long studies at the opening plenary session at the C3E workshop the following year.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.

研讨会系列，在受损环境中的计算网络安全（C3 E），探讨了最近的技术进步和创新的影响，在网络物理系统，必须在环境中，本身可能是危险和有争议的空间运行。 该项目是C3 E研讨会系列的一部分，被称为“挑战问题”，学生作为团队成员，由政府，工业和学术界的研究人员指导，进行新颖的案例研究，以研讨会的主题为动力。 这些特别研究旨在深入了解适应和采用新技术的挑战及其对系统工程，操作，行为和可知的影响。人工智能/机器学习（AI/ML）技术越来越多地成为广泛系统的一部分，并且是当前非常感兴趣的主题，并可能对社会产生相当大的利益。这些新系统引起了人们对系统安全性、可靠性、安全性、弹性以及人类与技术之间不断发展的关系的深切关注。 本次研讨会的挑战问题重点关注AI/ML在这些受损环境中运行的关键基础设施系统中的作用，其中决策支持涉及人类团队，并且通过系统风险和风险缓解的透镜来看待弹性。 挑战问题的主题主要由学生与他们的导师和导师合作准备。专题由讲习班方案小组委员会和组织委员会审查。被选中课题的团队将在第二年的C3 E研讨会的开幕全体会议上展示他们为期一年的研究成果。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审查标准进行评估，被认为值得支持。