Collaborative Research: Robust Deep Learning in Real Physical Space: Generalization, Scalability, and Credibility
The vulnerability of deep neural networks to small and imperceptible perturbations is a major challenge in machine learning today. For a variety of applications such as autonomous vehicles, security, and medical diagnosis, this weakness has severely ...
The vulnerability of deep neural networks to small and imperceptible perturbations is a major challenge in machine learning today. For a variety of applications such as autonomous vehicles, security, and medical diagnosis, this weakness has severely ...
applications, variety, small, vulnerability, medical diagnosis, Autonomous Vehicles, machine learning, major challenge, imperceptible perturbations, deep neural networks, Security, weakness
