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Closes #28

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PiperOrigin-RevId: 238274605
This commit is contained in:
Nicolas Papernot 2019-03-13 11:56:04 -07:00 committed by A. Unique TensorFlower
parent e566967ff6
commit 947e17dcce
4 changed files with 9 additions and 15 deletions
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2
research/pate_2017/analysis.py
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@ -44,7 +44,7 @@ import numpy as np
from six.moves import xrange from six.moves import xrange
import tensorflow as tf import tensorflow as tf
from differential_privacy.multiple_teachers.input import maybe_download import maybe_download
# These parameters can be changed to compute bounds for different failure rates # These parameters can be changed to compute bounds for different failure rates
# or different model predictions. # or different model predictions.

2
research/pate_2017/deep_cnn.py
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@ -24,7 +24,7 @@ from six.moves import xrange
import tensorflow as tf import tensorflow as tf
import time import time
from differential_privacy.multiple_teachers import utils import utils
FLAGS = tf.app.flags.FLAGS FLAGS = tf.app.flags.FLAGS

11
research/pate_2017/train_student.py
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@ -13,20 +13,17 @@
# limitations under the License. # limitations under the License.
# ============================================================================== # ==============================================================================
from __future__ import absolute_import from __future__ import absolute_import
from __future__ import division from __future__ import division
from __future__ import print_function from __future__ import print_function
import aggregation
import deep_cnn
import input # pylint: disable=redefined-builtin
import metrics
import numpy as np import numpy as np
from six.moves import xrange from six.moves import xrange
import tensorflow as tf import tensorflow as tf
from differential_privacy.multiple_teachers import aggregation
from differential_privacy.multiple_teachers import deep_cnn
from differential_privacy.multiple_teachers import input
from differential_privacy.multiple_teachers import metrics
FLAGS = tf.flags.FLAGS FLAGS = tf.flags.FLAGS
tf.flags.DEFINE_string('dataset', 'svhn', 'The name of the dataset to use') tf.flags.DEFINE_string('dataset', 'svhn', 'The name of the dataset to use')

9
research/pate_2017/train_teachers.py
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@ -13,17 +13,14 @@
# limitations under the License. # limitations under the License.
# ============================================================================== # ==============================================================================
from __future__ import absolute_import from __future__ import absolute_import
from __future__ import division from __future__ import division
from __future__ import print_function from __future__ import print_function
import deep_cnn
import input # pylint: disable=redefined-builtin
import metrics
import tensorflow as tf import tensorflow as tf
from differential_privacy.multiple_teachers import deep_cnn
from differential_privacy.multiple_teachers import input
from differential_privacy.multiple_teachers import metrics
tf.flags.DEFINE_string('dataset', 'svhn', 'The name of the dataset to use') tf.flags.DEFINE_string('dataset', 'svhn', 'The name of the dataset to use')
tf.flags.DEFINE_integer('nb_labels', 10, 'Number of output classes') tf.flags.DEFINE_integer('nb_labels', 10, 'Number of output classes')