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GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification

Home Page: https://openreview.net/forum?id=SJeQEp4YDH

Python 1.47% Shell 0.02% Jupyter Notebook 98.51%

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gat-cifar10's Issues

Invalid link for model checkpoints

Hi Xuwang,

Thank you for your project.
I found the first link for model checkpoints is not working.

https://asymmetrical-adversarial-training.s3.amazonaws.com/cifar10/checkpoints.tar.gz

This XML file does not appear to have any style information associated with it. The document tree is shown below.
<Error>
<Code>InvalidObjectState</Code>
<Message>The operation is not valid for the object's storage class</Message>
<StorageClass>GLACIER</StorageClass>
<RequestId>RKTZHTHHXF8Y3JYN</RequestId>
<HostId>YYg0L+J4CkYJQ6NKW4aBNf3SZ6KuLKPIFn9osq5u8dJE9swDvg07q04T74hTc8ujveVonggACRQ=</HostId>
</Error>

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