Defending Against Adversarial Attacks
Gokula explains how their technique for defending against adversarial attacks is agnostic to the target classifier and its training procedure, making no assumptions on how samples are generated or how the classifier is trained. This approach works on black boxes, making it a powerful and general defense strategy.In this clip
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Data Skeptic
Defending Against Adversarial Attacks
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