forked from 626_privacy/tensorflow_privacy
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# Copyright 2020, The TensorFlow Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Lint as: python3
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"""Tests for tensorflow_privacy.privacy.membership_inference_attack.data_structures."""
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from absl.testing import absltest
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import numpy as np
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from tensorflow_privacy.privacy.membership_inference_attack.data_structures import AttackInputData
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class AttackInputDataTest(absltest.TestCase):
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def test_get_loss(self):
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attack_input = AttackInputData(
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logits_train=np.array([[0.3, 0.5, 0.2], [0.2, 0.3, 0.5]]),
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logits_test=np.array([[0.2, 0.3, 0.5], [0.3, 0.5, 0.2]]),
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labels_train=np.array([1, 0]),
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labels_test=np.array([0, 1])
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)
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np.testing.assert_almost_equal(
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attack_input.get_loss_train().tolist(), [0.5, 0.2])
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np.testing.assert_almost_equal(
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attack_input.get_loss_test().tolist(), [0.2, 0.5])
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if __name__ == '__main__':
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absltest.main()
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