https://www.selleckchem.com/pr....oducts/gambogic-acid
Deep neural networks are fragile under adversarial attacks. In this work, we propose to develop a new defense method based on image restoration to remove adversarial attack noise. Using the gradient information back-propagated over the network to the input image, we identify high-sensitivity keypoints which have significant contributions to the image classification performance. We then partition the image pixels into the two groups high-sensitivity and low-sensitivity points. For low-sensitivity pixels, we use a total variation (T
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