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Fix PEP8, tests
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carlini committed Jul 9, 2017
1 parent 880e4a8 commit 7cad46d
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Showing 3 changed files with 2 additions and 4 deletions.
2 changes: 0 additions & 2 deletions cleverhans/attacks.py
Original file line number Diff line number Diff line change
Expand Up @@ -396,7 +396,6 @@ def jsma_wrap(x_val):

return wrap


def parse_params(self, theta=1., gamma=np.inf, nb_classes=10, clip_min=0.,
clip_max=1., targets=None, **kwargs):
"""
Expand Down Expand Up @@ -461,7 +460,6 @@ def generate(self, x, **kwargs):
num_iterations=self.num_iterations, xi=self.xi,
clip_min=self.clip_min, clip_max=self.clip_max)


def parse_params(self, eps=2.0, num_iterations=1, xi=1e-6, clip_min=None,
clip_max=None, **kwargs):
"""
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2 changes: 1 addition & 1 deletion tests_tf/test_attacks.py
Original file line number Diff line number Diff line change
Expand Up @@ -93,7 +93,7 @@ def test_generate_np_gives_adversarial_example(self):
orig_labs = np.argmax(self.sess.run(self.model(x_val)), axis=1)
new_labs = np.argmax(self.sess.run(self.model(x_adv)), axis=1)

assert np.mean(orig_labs==new_labs) < 0.3
assert np.mean(orig_labs==new_labs) < 0.5

def test_generate_np_can_be_called_with_different_eps(self):
x_val = np.random.rand(100, 2)
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2 changes: 1 addition & 1 deletion tutorials/mnist_tutorial_jsma.py
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Expand Up @@ -119,7 +119,7 @@ def mnist_tutorial_jsma(train_start=0, train_end=60000, test_start=0,
jsma = SaliencyMapMethod(wrap, back='tf', sess=sess)
jsma_params = {'theta': 1., 'gamma': 0.1,
'nb_classes': nb_classes, 'clip_min': 0.,
'clip_max': 1., 'targets': y,
'clip_max': 1.,
'y_val': None}

figure = None
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