673e2a86779cbb260e4557a8626b8e85ba510ede,cleverhans/attacks.py,SaliencyMapMethod,generate,#SaliencyMapMethod#Any#,477

Before Change

            self.y_target = tf.py_func(random_targets, [labels], tf.float32)
            self.y_target.set_shape([None, nb_classes])

        return jsma_symbolic(x, model=self.model, y_target=self.y_target,
                             theta=self.theta, gamma=self.gamma,
                             clip_min=self.clip_min, clip_max=self.clip_max)

    def parse_params(self, theta=1., gamma=1., nb_classes=None,
                     clip_min=0., clip_max=1., y_target=None, **kwargs):
        

After Change

                                      y_target=None)

                // Attack is untargeted, target values will be chosen at random
                x_adv = tf.py_func(jsma_wrap, [x], tf.float32)

        return x_adv

    def parse_params(self, theta=1., gamma=1., nb_classes=None,

Instances