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Implementation of Papers on Adversarial Examples

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Hello, I think there is an issue with the way you implement flow loss in the code. In the main paper it says that the flow loss is the sum...

The Variable API has been deprecated: Variables are no longer necessary to use autograd with tensors. So please update code and fix this problem..

When I tried to run this code, the following error occurred: Fast Gradient Sign Method Model: inception_v3 Traceback (most recent call last): File "fgsm.py", line 62, in out = model(inp)...

Hi, great repo! I am little confused with this line https://github.com/sarathknv/adversarial-examples-pytorch/blob/54887aa583ee19e94fc95e23684271019eecdd68/fgsm.py#L84 As far as I know, it is more reasonable to test with the reprocessed image rather than `inp`.