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mathcbc / advGAN_pytorch

a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
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How to test madrylab's defense methods? #4

Open SoEzreal opened 4 years ago

SoEzreal commented 4 years ago

https://github.com/MadryLab/mnist_challenge

Hello, I am trying to attack MadryLab's defense strategy with your project （advGAN）. However, it did not get the 92.76% effect mentioned in the article （Generating Adversarial Examples with Adversarial Networks）. Since I just started this research work, I don't know whether it is the problem of parameter setting or the wrong operations.

mathcbc commented 4 years ago

It is not the official implementation and I didn't test the code in the Madrylab's defense strategy.

On 11/26/2019 15:08, SoEzreal wrote:

https://github.com/MadryLab/mnist_challenge

Hello, I am trying to attack MadryLab's defense strategy with your project （advGAN）. However, it did not get the 92.76% effect mentioned in the article （Generating Adversarial Examples with Adversarial Networks）. Since I just started this research work, I don't know whether it is the problem of parameter setting or the wrong operations.

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