DCVAE-adv: A Universal Adversarial Example Generation Method for White and Black Box Attacks
Lei Xu,
Junhai Zhai
Abstract:Deep neural network (DNN) has strong representation learning ability, but it is vulnerable and easy to be fooled by adversarial examples. In order to handle the vulnerability of DNN, many methods have been proposed.The general idea of existing methods is to reduce the chance of DNN models being fooled by observing some designed adversarial examples, which are generated by adding perturbations to the original images. In this paper, we propose a novel adversarial example generation method, called DCVAE-adv. Diff… Show more
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