7c537572503ad61a9f09ac0a3d2e71833e5d09a9,tensorflow_privacy/privacy/membership_inference_attack/keras_evaluation_example.py,,main,#Any#,78

Before Change

          AttackType.THRESHOLD_ATTACK, AttackType.K_NEAREST_NEIGHBORS
      ])

  attack_properties, attack_values = get_flattened_attack_metrics(
      attack_results)
  print("\n".join([
      "  %s: %.4f" % (", ".join(p), r)
      for p, r in zip(attack_properties, attack_values)
  ]))


if __name__ == "__main__":

After Change

      attack_types=[
          AttackType.THRESHOLD_ATTACK, AttackType.K_NEAREST_NEIGHBORS
      ])
  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)]))


if __name__ == "__main__":

Instances