Detecting Adversarial Samples
Gokula shares the key insight of using the discriminator to detect adversarial samples and how it can be utilized as a regularization technique. The implementation involves creating visually similar images with high discriminator scores, resulting in a new regularization technique for detecting and defending against adversarial samples.In this clip
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Data Skeptic
Defending Against Adversarial Attacks
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