ALT Dear Colleagues, The rapid progression of deep learning in the past decade has led to the development of learning-enabled systems, such as robotics systems, medical diagnosis systems, and Industry 5.0. However, rigorous methods to enforce the safety and security of these systems are still needed. This article collection aims to bring together research on how to identify, rectify, and verify the safety and security risks of learning-enabled systems. We welcome various forms of contributions, such as original research, survey papers, case studies, and tool demonstrations.