Article
Chained Dual-GAN: A Generalized Defense against Adversarial Attacks
2022-05-23
Abstract excerpt
Neural networks play a significant role in the field of image classification. When an input image is modified by adversarial attacks, the changes are imperceptible to the human eye, but it still leads to misclassification of the images. In this paper, we create a new approach to defend against adversarial attacks, dubbed Chained Dual-GAN (CD-GAN) that tackles the defense against adversarial attacks by minimizing t...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 9d977bc2-52aa-517c-b60e-d8409b045db4
- DOI
- 10.21203/rs.3.rs-1623864/v2
