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Ioannis Pitas (AUTH)
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This lecture overviews Adversarial Machine Learning that has many applications in DNN robustness and in privacy protection. It covers the following topics in detail: Adversarial Examples, Attack Methods, Adversarial Face De-Identification, Adversarial Defenses.
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