CW attack doesn't work.maybe i don't know how to run correctly. help me about adversarial-attacks-pytorch HOT 12 CLOSED

I found, set c to 10 or up(1 is not enough), CW attack can changed image to adversarial image with high success rate

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Please let me know the error situation.

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Sir, I also encounter this issue, I found when I use the parameters default in your code, the success rate of adversarial attack is close to 0. Cause I do not check the original paper about C&W, so I am not sure how to do. Can you help me ? @Harry24k

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Sir, I also encounter this issue, I found when I use the parameters default in your code, the success rate of adversarial attack is close to 0. Cause I do not check the original paper about C&W, so I am not sure how to do. Can you help me ? @Harry24k

With default c, you can't easily get adversarial images. Set higher c like 1.

I also used c=1 in the demo.

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set c like 1, I tried, but the code doesn't work too.I also check the souce code, i found the source code are not wrong.So i dont know where is wrong.

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Let me try, thanks for your precious experience! @xieshisheng

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By the way, sir, how do you set iters and lr? @xieshisheng

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I dont change iters and lr.
source code
"loss1 = nn.MSELoss(reduction='sum')(a, images)
loss2 = torch.sum(self.c*f(a))"
i think MSEELoss force new image as same as old image, if c is small ,gradient of loss2 is small . So the "adversarial" image is just as same as image, but not truly adversarial image.

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hhhhh, maybe large iteration is more effective.I‘ll try it later.thank you

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