bdaa0a7126f3b5e72b9df7c4b58413ced4f40a18,tests/attacks/test_fast_gradient.py,TestFastGradientMethodImages,test_targeted_attack_images,#TestFastGradientMethodImages#,165
Before Change
self.assertFalse((self.x_test_mnist == x_test_adv).all())
def test_targeted_attack_images(self):
classifier = utils_test.get_image_classifier()
attack = FastGradientMethod(classifier, eps=1.0, targeted=True)
y_test_pred_sort = classifier.predict(self.x_test_mnist).argsort(axis=1)
After Change
self.assertFalse((self.x_test_mnist == x_test_adv).all())
def test_targeted_attack_images(self):
classifier_list = utils_test.get_image_classifiers()
// TODO this if statement must be removed once we have a classifier for both image and tabular data
if classifier_list is None:
logging.warning("Couldn"t perform this test because no classifier is defined")
return
for classifier in classifier_list:
attack = FastGradientMethod(classifier, eps=1.0, targeted=True)
y_test_pred_sort = classifier.predict(self.x_test_mnist).argsort(axis=1)
targets = np.zeros((self.x_test_mnist.shape[0], 10))
for i in range(self.x_test_mnist.shape[0]):
targets[i, y_test_pred_sort[i, -2]] = 1.0
attack_params = {"minimal": True, "eps_step": 0.01, "eps": 1.0}
attack.set_params(**attack_params)
x_test_adv = attack.generate(self.x_test_mnist, y=targets)
self.assertFalse((self.x_test_mnist == x_test_adv).all())
y_test_pred_adv = get_labels_np_array(classifier.predict(x_test_adv))
self.assertEqual(targets.shape, y_test_pred_adv.shape)
self.assertGreaterEqual((targets == y_test_pred_adv).sum(), self.x_test_mnist.shape[0] // 2)
def test_targeted_attack_tabular(self):
classifier_list = utils_test.get_tabular_classifiers()
for classifier in classifier_list:
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 11
Instances
Project Name: IBM/adversarial-robustness-toolbox
Commit Name: bdaa0a7126f3b5e72b9df7c4b58413ced4f40a18
Time: 2020-01-31
Author: killian.levacher@gmail.com
File Name: tests/attacks/test_fast_gradient.py
Class Name: TestFastGradientMethodImages
Method Name: test_targeted_attack_images
Project Name: IBM/adversarial-robustness-toolbox
Commit Name: bdaa0a7126f3b5e72b9df7c4b58413ced4f40a18
Time: 2020-01-31
Author: killian.levacher@gmail.com
File Name: tests/attacks/test_fast_gradient.py
Class Name: TestFastGradientMethodImages
Method Name: test_minimal_perturbations_images
Project Name: IBM/adversarial-robustness-toolbox
Commit Name: bdaa0a7126f3b5e72b9df7c4b58413ced4f40a18
Time: 2020-01-31
Author: killian.levacher@gmail.com
File Name: tests/attacks/test_fast_gradient.py
Class Name: TestFastGradientMethodImages
Method Name: test_no_norm_images