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