7c537572503ad61a9f09ac0a3d2e71833e5d09a9,tensorflow_privacy/privacy/membership_inference_attack/tf_estimator_evaluation_example.py,,main,#Any#,99

Before Change

    // Get a summary writer for the hook to write to tensorboard.
    // Can set summary_writer to None if not needed.
    if FLAGS.model_dir:
      summary_writer = tf.summary.FileWriter(FLAGS.model_dir)
    else:
      summary_writer = None
    mia_hook = MembershipInferenceTrainingHook(
        mnist_classifier, (train_data, train_labels), (test_data, test_labels),

After Change

      )
  att_types, att_slices, att_metrics, att_values = get_flattened_attack_metrics(
      attack_results)
  print("\n".join(["  %s: %.4f" % (", ".join([s, t, m]), v) for t, s, m, v in
                   zip(att_types, att_slices, att_metrics, att_values)]))

Instances