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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...

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Literature Corpus work
9d977bc2-52aa-517c-b60e-d8409b045db4
DOI
10.21203/rs.3.rs-1623864/v2
Open publication

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Chained Dual-GAN: A Generalized Defense against Adversarial AttacksDOI 10.21203/rs.3.rs-1623864/v2
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