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A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"
License: MIT License
cw-pytorch's Introduction
- ๐ Postdoctoral Researcher at Seoul National University
- ๐ Machine Learning & Deep Learning
- ๐ฅ Adversarial Robustness & Generalization
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I tried to perform targeted attack but failed. So how to set the parametres to perform the targeted attack?
error: indices should be either on cpu or on the same device as the indexed tensor (cpu)
one_hot_labels = torch.eye(len(outputs[0]))[labels].to(device))
I don't know, which item should set to cpu
Hey, even after adverserial attack, the panda image is being classified as panda. Can you help regarding this?
PS - I ran whole notebook as it is after uploading data