Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense

no code implementations • 12 Apr 2019 • Lingyun Jiang, Kai Qiao, Ruoxi Qin, Linyuan Wang, Jian Chen, Haibing Bu, Bin Yan

In image classification of deep learning, adversarial examples where inputs intended to add small magnitude perturbations may mislead deep neural networks (DNNs) to incorrect results, which means DNNs are vulnerable to them.

Adversarial Attack Image Classification