Divide by zero

[akshayag]

Hello,

Was running the code on CIFAR for 150 epochs and with batch size 32

Craft attack on training examples
/adversarial-robustness-toolbox-master/art/attacks/deepfool.py:84: RuntimeWarning: divide by zero encountered in true_divide
r = (abs(f_diff[l]) / pow(np.linalg.norm(grad_diff[l]), 2)) * grad_diff[l]
/adversarial-robustness-toolbox-master/art/attacks/deepfool.py:84: RuntimeWarning: invalid value encountered in multiply
r = (abs(f_diff[l]) / pow(np.linalg.norm(grad_diff[l]), 2)) * grad_diff[l]

[ririnicolae]

Hi, @akshayag! Thanks for letting us know! I'll add a small tolerance constant to avoid divide by 0 warnings.

[akshayag]

Please write some instructions to use other attack methods also. For example, I am getting the error when trying to run the attack CarliniL2Method

x_train_adv = adv_crafter.generate(x_train)
File "/adversarial-robustness-toolbox-master/art/attacks/carlini.py", line 124, in generate
assert not (self.targeted and y is None)
AssertionError

Similarly, if there will be an example line for other methods also to craft the adversary.

[ririnicolae]

We will try to provide more examples. Meanwhile, for your current error, as per CarliniL2Method documentation, you either need to set targeted=False when creating the attack, or provide target labels y when calling generate.

[akshayag]

Please take a look at this error also.

Create VirtualAdversarialMethod attack

Craft attack on training examples
/adversarial-robustness-toolbox-master/art/attacks/virtual_adversarial.py:91: RuntimeWarning: invalid value encountered in float_scalars
d_new[array_iter.multi_index] = (kl_div2 - kl_div1) / self.finite_diff
/adversarial-robustness-toolbox-master/art/attacks/virtual_adversarial.py:116: RuntimeWarning: invalid value encountered in multiply
x = x * inverse

[ririnicolae]

@akshayag Fix for both divide by 0 issues is pushed. Please confirm that the warning is gone.