Dear Fellow,

I have tried cleverhans FGSM that was ran successfully after that I tried PGD but it gives these king of error, I tried s many things but nothing happened. Does anyone have any solution

epsilon = 0.1

adv_example_untargeted_label = fast_gradient_method(logits_model, original_image, epsilon,40,8,5,np.inf, targeted=False)

adv_example_untargeted_label_pred = model.predict(adv_example_untargeted_label)

AssertionError Traceback (most recent call last)

in

1 epsilon = 0.1

2

----> 3 adv_example_untargeted_label = fast_gradient_method(logits_model, original_image, epsilon,40,8,5,np.inf, targeted=False)

4

5 adv_example_untargeted_label_pred = model.predict(adv_example_untargeted_label)

/usr/local/lib/python3.7/dist-packages/cleverhans/tf2/attacks/projected_gradient_descent.py in projected_gradient_descent(model_fn, x, eps, eps_iter, nb_iter, norm, loss_fn, clip_min, clip_max, y, targeted, rand_init, rand_minmax, sanity_checks)

58 “”"

59

—> 60 assert eps_iter <= eps, (eps_iter, eps)

61 if norm == 1:

62 raise NotImplementedError(

AssertionError: (40, 0.1)