implementing Carlini-Wagner attack

[ephi...@yahoo.com]

I would like to know if implementing a Carlini-Wagner attack can be patterned (in the mnist_tutorial_picklable.py code) similar to an implementation of a PGD attack, i.e.,

    #Carlini-Wagner attack
    cwl2 = CarliniWagnerL2(model, sess=sess)
    adv_x = cwl2.generate(x, **cwl2_params)
    preds_adv = model.get_logits(adv_x)

However, I am not sure what form "cwl2_params" would take. An example of pgd_params that appeared to be successful was:

 

  pgd_params = {'eps':0.1,
                'eps_iter': 0.01,
                'nb_iter': 10.,
                'clip_min': 0.,
                'clip_max': 1.}

And the function "parse_params" (Line 1189 in attacks.py) lists a number of input parameters, e.g.,

  def parse_params(self,
                   y=None,
                   y_target=None,
                   batch_size=1,
                   confidence=0,
                   learning_rate=5e-3,
                   binary_search_steps=5,
                   max_iterations=1000,
                   abort_early=True,
                   initial_const=1e-2,
                   clip_min=0,
                   clip_max=1):

Please advise.

Thank you. AT

[Nicholas Carlini]

I'm not quite sure what you're asking, but you can look at sample
parameters for the attack here

https://github.com/tensorflow/cleverhans/blob/master/cleverhans_tutorials/mnist_tutorial_cw.py#L182

Does that help?

If you have any further questions on this, feel free to reply
directly to me---the cleverhans-dev mailinglist is meant for
discussing the development of the cleverhans library, and
not primarily as a forum for questions about using it.


Nicholas

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[ephi...@yahoo.com]

Yes. Thank you. Your reply is very helpful. And I apologize that I misunderstood and have been using the cleverhans-dev mailinglist as a users group forum mainly for implementation questions. Thank you for your kind offer to help offline.

Best, AT 

On Wednesday, December 26, 2018 at 6:54:18 PM UTC-5, Nicholas Carlini wrote:

I'm not quite sure what you're asking, but you can look at sample
parameters for the attack here

https://github.com/tensorflow/cleverhans/blob/master/cleverhans_tutorials/mnist_tutorial_cw.py#L182

Does that help?

If you have any further questions on this, feel free to reply
directly to me---the cleverhans-dev mailinglist is meant for
discussing the development of the cleverhans library, and
not primarily as a forum for questions about using it.


Nicholas

> To unsubscribe from this group and stop receiving emails from it, send an email to cleverhans-dev+unsubscribe@googlegroups.com.
> To post to this group, send email to cleverhans-dev@googlegroups.com.