ESE PhD Thesis Defense: “Algorithms for Adversarially Robust Deep Learning”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia

Given the widespread use of deep learning models in safety-critical applications, ensuring that the decisions of such models are robust against adversarial exploitation is of fundamental importance.  In this thesis, […]