Machine learning and software development share processes and methodologies for reliably delivering products to customers. This work proposes the use of a new teaming construct for forming machine learning teams for better combatting adversarial attackers. In cybersecurity, infrastructure uses these teams to protect their systems by using system builders and programmers to also offer more robustness to their platforms. Color teams provide clear responsibility to the individuals on each team for which part of the baseline (Yellow), attack (Red), and defense (Blue) breakout of the pipeline. Combining colors leads to additional knowledge shared across the team and more robust models built during development. The responsibilities of the new teams Orange, Green, and Purple will be outlined during this paper along with an overview of the necessary resources for these teams to be successful.
翻译:机器学习和软件开发共享流程和方法,以便可靠地向客户交付产品; 这项工作提议使用一个新的团队结构,组建机器学习团队,以更好地打击对抗性攻击者; 在网络安全方面,基础设施利用这些团队保护其系统,使用系统构建器和编程器,为平台提供更稳健的平台; 彩色团队向每个团队中基线(Yellow)、攻击(Red)和防御(Blue)管道断裂部分(Yellow)、攻击(Red)和防御(Blue)中的个人提供明确的责任; 组合颜色导致团队之间共享更多知识,并在开发过程中建立更强有力的模型; 新的橙色、绿色和紫团队的责任将在本文件中概述,同时概述这些团队取得成功的必要资源。