8171abecc9af4afaa1fd97d0a47a4609457128c1,art/attacks/evasion/adversarial_patch/adversarial_patch_numpy.py,AdversarialPatchNumpy,__init__,#AdversarialPatchNumpy#Any#Any#Any#Any#Any#Any#Any#Any#Any#,64

Before Change

            0
        ]
        self.patch = np.ones(shape=self.patch_shape).astype(np.float32) * mean_value
        self.patch[int(self.patch.shape[0] / 2), :, :] = 1

    def generate(self, x: np.ndarray, y: Optional[np.ndarray] = None, **kwargs) -> np.ndarray:
        

After Change

            self.i_w = 1

        if self.estimator.channels_first:
            smallest_image_edge = np.minimum(self.image_shape[1], self.image_shape[2])
            nb_channels = self.image_shape[0]
            self.patch_shape = (nb_channels, smallest_image_edge, smallest_image_edge)
        else:
            smallest_image_edge = np.minimum(self.image_shape[0], self.image_shape[1])
            nb_channels = self.image_shape[2]
            self.patch_shape = (smallest_image_edge, smallest_image_edge, nb_channels)

Instances