df504d916235e97ed68d204afc7cc435bce2168a,art/attacks/boundary.py,BoundaryAttack,_orthogonal_perturb,#BoundaryAttack#Any#Any#Any#,257

Before Change

        for i in range(direction.shape[0]):
            direction[i] /= np.linalg.norm(direction[i])
            perturb[i] -= np.dot(perturb[i], direction[i]) * direction[i]

        perturb = np.swapaxes(perturb, 0, self.classifier.channel_index - 1)

After Change

        if len(self.classifier.input_shape) == 3:
            for i in range(direction.shape[self.classifier.channel_index - 1]):
                direction[:, :, i] /= np.linalg.norm(direction[:, :, i])
                perturb[:, :, i] -= np.dot(perturb[:, :, i], direction[:, :, i]) * direction[:, :, i]
        elif len(self.classifier.input_shape) == 1:
            direction /= np.linalg.norm(direction)
            perturb -= np.dot(perturb, direction.T) * direction
        else:
            raise ValueError("Input shape not recognised.")

        return perturb

Instances