Comments (2)
Please use your own imagenet data. If you really want this one, please check nips for adversarial competition 2017. Otherwise, you have the image name list but not the list.
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- not the images.
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Related Issues (14)
- How to get the MAD score? HOT 1
- Is there any operation in Appendix A in the code? If so, where is it? HOT 1
- inc_scw.py HOT 1
- could you write the code of pytorch vision? HOT 1
- ValueError: The passed save_path is not a valid checkpoint: /nfs/pyrex/raid6/hzhang/2017-nips/models/inception_v3.ckpt HOT 1
- I'm really sorry, when are you free? can you write a pytorch version? HOT 1
- inc_scw.py, what file is _0.997000.mat? HOT 1
- why I get this result HOT 2
- under the SAE folder demo.py.How to get super parameters if you want to successfully attack? Or which parameter can be adjusted to make the attack successful?
- Why do I open basic_cnn_model.py under the SAE folder and make is_training = True,loss=0,but can attack successfuly? HOT 1
- I
- I want to know your distortion is calculated in the code of magnify folder ?or in in the code of SAE folder?
- Hi,In your magnify folder, use the red box to select the red flag in which code?
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