ESE PhD Thesis Defense: “Algorithms for Adversarially Robust Deep Learning”
Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, PhiladelphiaGiven 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, […]