Open sullendhy opened 1 year ago
Yes, the hyperparameter gumbel_samples
influences how many adversarial examples are drawn at test time. Once the adversarial distribution is optimized, one can theoretically draw infinitely many adversarial examples from it, but in the experiments we set it to 1000 as going beyond this number won't have much effect on success rate.
Thank you very much for your prompt reply and your patience as always. By the way, is there any other similar paper on adversarial attack and defense in your lab that you can recommend for my study. Thank you.
Thanks for your perfect work! As a junior student, I have learned a lot from your work. And I would like to know a little more in depth. In your source code file "white_attack.py" and "evaluate_adv_samples.py", what does the last hyperparameter "gumbel_samples" mean? I am not sure whether "gumbel_samples" refers to the number of sampled adversarial samples from adversarial distribution for each benign input. And how can this hyperparameter influence the attack performance? Thank you.