Sparse-Adversarial-Attack
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Implementation of ECCV 2020 "Sparse Adversarial Attack via Perturbation Factorization"
I'm attacking the imageNet image. I used the Inceptionv3 pre-training model provided by Pytorch. The following parameters are used for normalization: `mean = torch.Tensor([0.485, 0.456, 0.406]).view(1,3,1,1)` `std = torch.Tensor([0.229, 0.224,...
How do I adjust the hyperparameters or modify the code so that I don't use structural attacks?
Thanks for the code! I found this method to be slightly slower, taking 300 seconds to attack a CIFAR10 image. In the demo you provided, a batch contains only one...