A New Perspective on Adversarial Perturbations
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46:39
1Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
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50:32
On Evaluating Adversarial Robustness
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1:09:58
MIT Introduction to Deep Learning | 6.S191
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1:06:01
Nonparametric Bayesian Methods: Models, Algorithms, and Applications I
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43:28
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
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48:03
Mad Max: Affine Spline Insights into Deep Learning
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1:24:44
Stanford Seminar - Information Theory of Deep Learning, Naftali Tishby
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12:55