90 lines
3.3 KiB
Python
90 lines
3.3 KiB
Python
# Copyright 2021, 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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"""Tests for audit.py."""
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from absl.testing import absltest
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from absl.testing import parameterized
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import numpy as np
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import audit
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def dummy_train_and_score_function(dataset):
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del dataset
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return 0
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def get_auditor():
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poisoning = {}
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datasets = (np.zeros((5, 2)), np.zeros(5)), (np.zeros((5, 2)), np.zeros(5))
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poisoning["data"] = datasets
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poisoning["pois"] = (datasets[0][0][0], datasets[0][1][0])
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auditor = audit.AuditAttack(datasets[0][0], datasets[0][1],
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dummy_train_and_score_function)
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auditor.poisoning = poisoning
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return auditor
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class AuditParameterizedTest(parameterized.TestCase):
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"""Class to test parameterized audit.py functions."""
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@parameterized.named_parameters(
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('Test0', np.ones(500), np.zeros(500), 0.5, 0.01, 1,
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(4.541915810224092, 0.9894593118113243)),
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('Test1', np.ones(500), np.zeros(500), 0.5, 0.01, 2,
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(2.27095790511, 0.9894593118113243)),
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('Test2', np.ones(500), np.ones(500), 0.5, 0.01, 1,
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(0, 0))
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)
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def test_compute_epsilon_and_acc(self, poison_scores, unpois_scores,
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threshold, pois_ct, alpha, expected_res):
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expected_eps, expected_acc = expected_res
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computed_res = audit.compute_epsilon_and_acc(poison_scores, unpois_scores,
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threshold, pois_ct, alpha)
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computed_eps, computed_acc = computed_res
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self.assertAlmostEqual(computed_eps, expected_eps)
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self.assertAlmostEqual(computed_acc, expected_acc)
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@parameterized.named_parameters(
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('Test0', [1]*500, [0]*250 + [.5]*250, 1, 0.01, .5,
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(.5, 4.541915810224092, 0.9894593118113243)),
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('Test1', [1]*500, [0]*250 + [.5]*250, 1, 0.01, None,
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(.5, 4.541915810224092, 0.9894593118113243)),
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('Test2', [1]*500, [0]*500, 2, 0.01, .5,
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(.5, 2.27095790511, 0.9894593118113243)),
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)
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def test_compute_results(self, poison_scores, unpois_scores, pois_ct,
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alpha, threshold, expected_res):
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expected_thresh, expected_eps, expected_acc = expected_res
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computed_res = audit.compute_results(poison_scores, unpois_scores,
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pois_ct, alpha, threshold)
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computed_thresh, computed_eps, computed_acc = computed_res
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self.assertAlmostEqual(computed_thresh, expected_thresh)
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self.assertAlmostEqual(computed_eps, expected_eps)
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self.assertAlmostEqual(computed_acc, expected_acc)
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class AuditAttackTest(absltest.TestCase):
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"""Nonparameterized audit.py test class."""
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def test_run_experiments(self):
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auditor = get_auditor()
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pois, unpois = auditor.run_experiments(100)
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expected = [0]*100
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self.assertListEqual(pois, expected)
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self.assertListEqual(unpois, expected)
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if __name__ == '__main__':
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absltest.main()
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