Robustness and Security in Deep Learning Algorithms

Abstract

Deep learning algorithms have emerged as powerful tools for solving complex problemsacross a variety of domains, including computer vision, natural language processing, andautonomous systems. However, as their deployment increases, so does the need to address their vulnerabilities in terms of robustness and security. These algorithms are prone to variousrisks, such as adversarial attacks