Authentic Learning Approach for Artificial Intelligence Systems Security and Privacy

Mst. Shapna Akter, H. Shahriar, Dan C. Lo, Nazmus Sakib, Kai Qian, Michael E. Whitman, Fan Wu
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引用次数: 1

Abstract

The main objective of authentic learning is to offer students an exciting and stimulating educational setting that provides practical experiences in tackling real-world security issues. Each educational theme is composed of pre-lab, lab, and post-lab activities. Through the application of authentic learning, we create and produce portable lab equipment for AI Security and Privacy on Google CoLab. This enables students to access and practice these hands-on labs conveniently and without the need for time-consuming installations and configurations. As a result, students can concentrate more on learning concepts and gain more experience in hands-on problem-solving abilities.
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人工智能系统安全与隐私的真实学习方法
真实学习的主要目标是为学生提供一个令人兴奋和刺激的教育环境,为解决现实世界的安全问题提供实践经验。每个教育主题都由实验前、实验和实验后的活动组成。通过真实学习的应用,我们在Google CoLab上为人工智能安全与隐私创造和生产便携式实验室设备。这使学生能够方便地访问和实践这些动手实验室,而不需要耗时的安装和配置。因此,学生可以更专注于学习概念,并在动手解决问题的能力方面获得更多的经验。
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