Dataset Groups Activity Stream 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. BibTex: @dataset{Lingyun_Jiang_and_Kai_Qiao_and_Ruoxi_Qin_and_Linyuan_Wang_and_Jian_Chen_and_Haibing_Bu_and_Bin_Yan_2024, abstract = {The MNIST and CIFAR10 datasets are used to evaluate the Cycle-Consistent Adversarial GAN (CycleAdvGAN) for image classification.}, author = {Lingyun Jiang and Kai Qiao and Ruoxi Qin and Linyuan Wang and Jian Chen and Haibing Bu and Bin Yan}, doi = {10.57702/3lynoxnr}, institution = {No Organization}, keyword = {'Adversarial Attacks', 'CIFAR10', 'Deep Learning', 'MNIST'}, month = {dec}, publisher = {TIB}, title = {CycleAdvGAN: integration of adversarial attack and defense}, url = {https://service.tib.eu/ldmservice/dataset/cycleadvgan--integration-of-adversarial-attack-and-defense}, year = {2024} }
