ff94e24d202ba1e5861caddc915df0c43f23b766,examples/application_object_detection.py,,main,#,62

Before Change

    gradients = frcnn.loss_gradient(x=image, y=None)

    // Create adversarial image
    image_adv = image + np.sign(gradients) * 8 * 1
    image_adv = np.clip(image_adv, a_min=0, a_max=255).astype(np.uint8)

    for i in range(image_adv.shape[0]):

After Change

    image_adv = attack.generate(x=image, y=None)

    print("np.amax(np.abs(image - image_adv))")
    print(np.amax(np.abs(image - image_adv)))

    for i in range(image_adv.shape[0]):
        plt.axis("off")

Instances