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CycleAdvGAN: integration of adversarial attack and defense

The MNIST and CIFAR10 datasets are used to evaluate the Cycle-Consistent Adversarial GAN (CycleAdvGAN) for image classification.

Data and Resources

Cite this as

Lingyun Jiang, Kai Qiao, Ruoxi Qin, Linyuan Wang, Jian Chen, Haibing Bu, Bin Yan (2024). Dataset: CycleAdvGAN: integration of adversarial attack and defense. https://doi.org/10.57702/3lynoxnr

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1904.06026
Author Lingyun Jiang
More Authors
Kai Qiao
Ruoxi Qin
Linyuan Wang
Jian Chen
Haibing Bu
Bin Yan
Homepage https://arxiv.org/abs/2003.09641