code: def backend_test_random_initialisation_images(attack, mnist_dataset):
      (
          x_train_mnist,
          y_train_mnist,
          x_test_mnist,
          y_test_mnist,
      ) = mnist_dataset
      x_test_adv = attack.generate(x_test_mnist)
      assert bool((x_test_mnist == x_test_adv).all()) is False
  
file_path: adversarial-robustness-toolbox/tests/attacks/utils.py
imports: import pytest
  import numpy
  import logging
  import keras.backend
  from art.utils import random_targets, get_labels_np_array
  from art.exceptions import EstimatorError
  from tests.utils import check_adverse_example_x, check_adverse_predicted_sample_y
label_desc: Use image node_id 3 for calling a global function with example usage: backend_test_random_initialisation_images(attack, mnist_dataset) without return types