Although recent deep neural network algorithm has shown tremendous success in several
computer vision tasks, their vulnerability against minute adversarial perturbations has raised …

Recently, a significant boom has been noticed in the generation of a variety of malicious
examples ranging from adversarial perturbations to common noises to natural adversaries …

Deep neural networks are generally trained using large amounts of data to achieve state-of-
the-art accuracy in many possible computer vision and image analysis applications ranging …

Deep learning-based algorithms are classified as automatic feature learning and
classification algorithms. In order to effectively learn these features, these algorithms …

Methods of adversarial attack and defense have attracting increasing attention in the fields
of security and protection related applications. However, current algorithms carry out …