Lecture
Adversarial Machine Learning
Description
This lecture covers adversarial machine learning and generative adversarial networks, critical in machine learning with applications like adversarial examples, training, and GANs. It explores optimization formulations, robustness examples, and methods like FGSM and proximal gradient descent.
Official source
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