41f6102651d531709fe0c35f711cf06c2df8f20b,art/attacks/iterative_method.py,BasicIterativeMethod,generate,#BasicIterativeMethod#Any#,44

Before Change

            // Adversarial crafting
            adv_x[active_indices] = self._compute(adv_x[active_indices], targets[active_indices], self.eps_step,
                                                  self.random_init)
            noise = projection(adv_x[active_indices] - x[active_indices], self.eps, self.norm)
            adv_x[active_indices] = x[active_indices] + noise
            adv_preds = self.classifier.predict(adv_x[active_indices])

            // Update active indices
            active_subindices = np.where(target_labels[active_indices] != np.argmax(adv_preds, axis=1))[0]
            active_indices = [active_indices[i] for i in active_subindices]

            // Stop if no more indices left to explore
            if len(active_indices) == 0:
                break

After Change

            // Adversarial crafting
            adv_x = self._compute(adv_x, targets, self.eps_step, self.random_init and i==0)
            
            if self._project:
                noise = projection(adv_x - x, self.eps, self.norm)               
                adv_x = x + noise
            
        return adv_x

    def set_params(self, **kwargs):
        

Instances