BoundaryAttack ValueError: The shape of mean and the standard deviation must be identical.

[HuannnXu]

When I tried the example of ART Boundary Attack, I got the ValueError: The shape of mean and the standard deviation must be identical when the program execute classifiers.predict()

[HuannnXu]

I worked it out by "classifier = KerasClassifier(clip_values=(0, 255), model=model, preprocessing=(mean_imagenet, np.ones([224, 224, 3])))" instead of classifier = KerasClassifier(clip_values=(0, 255), model=model, preprocessing=(mean_imagenet, 1))

[beat-buesser]

Hi @HuannnXu That's great!