Search Results for author: Le Shu

Found 1 papers, 0 papers with code

Fast-UAP: An Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors

no code implementations4 Nov 2019 Jiazhu Dai, Le Shu

Convolutional neural networks (CNN) have become one of the most popular machine learning tools and are being applied in various tasks, however, CNN models are vulnerable to universal perturbations, which are usually human-imperceptible but can cause natural images to be misclassified with high probability.

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