Robust Artificial Intelligence for Trustworthy Decision Making

Background: Despite their success in massive engineering applications, deep neural networks are found to be vulnerable to perturbations of input, raising security concerns in safety-critical applications. Input perturbations may occur due to errors or adversarial attacks.