Comments (3)
Huh. The constants should be what I put at the top of the file. Which of the results aren't coming out the same? MNIST? CIFAR? If you want I can email you with the exact models I used and you should be able to get identical results.
from nn_robust_attacks.
Basically, I can reproduce the L2 attack result of MNIST and CIFAR similar with yours. However, my result of L0 and Li on both MNIST and CIFAR are different with yours. If possible, please send it to my email address [email protected]
Thanks
from nn_robust_attacks.
Will do. Taking offline.
from nn_robust_attacks.
Related Issues (20)
- How to control the pixel number to be noised ? HOT 2
- About the settings for imagenet HOT 3
- modifier always equals zero
- no boxmin and boxmax in L_0 and L_inf
- Misleading printing?
- TODO
- Low validation accuracy of CIFAR HOT 2
- Any adversarial attack that sustains after resize attack HOT 1
- L_inf always fails if abort_early is False
- I want to attack my own model training by tensorflow2.0. HOT 2
- L2 untargeted attack not working?! HOT 2
- Unable to open file HOT 1
- Unable to run train_models.py HOT 2
- Unsuccessful TensorSliceReader constructor HOT 1
- What version of tensorflow + keras? HOT 1
- why 10000 in your code,what's the meaning?Thanks!!! HOT 2
- What are the keras and tensorflow imported in the code?
- question for self.newimg in l2_attack
- GZip error HOT 2
- L2 regularization term is squared. Why here specifically? Which impact?
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