Abstract: Deep Neural Networks (DNNs) have recently made significant strides in various fields; however, they are susceptible to adversarial examples—crafted inputs with imperceptible perturbations ...
This course presents the fundamental principles of structural analysis, determination of reactions, internal forces and deflections under the static load conditions. The course is mainly focused to ...
Abstract: Due to the exponential disparity in the magnitude of high- and low-frequency components in the image frequency domain, existing frequency-domain enhancement methods for adversarial examples ...
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