ModuleNotFoundError: No module named 'tensorflow_privacy.privacy.membership_inference_attack'

Following the README on the membership inference page yields an error.

I am running TensorFlow Privacy in a Google Colab notebook.

After adding the module with pip through !pip install tensorflow-privacy, I try running the lines specified in the README:

from tensorflow_privacy.privacy.membership_inference_attack import membership_inference_attack as mia

This yields the following error message:

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ModuleNotFoundError                       Traceback (most recent call last)

<ipython-input-10-43809957f96c> in <module>()
      1 # tensorflow privacy mia imports
----> 2 from tensorflow_privacy.privacy.membership_inference_attack import membership_inference_attack as mia
      3 from tensorflow_privacy.privacy.membership_inference_attack.data_structures import AttackInputData
      4 from tensorflow_privacy.privacy.membership_inference_attack.data_structures import SlicingSpec
      5 from tensorflow_privacy.privacy.membership_inference_attack.data_structures import AttackType

ModuleNotFoundError: No module named 'tensorflow_privacy.privacy.membership_inference_attack'


---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.

To view examples of installing some common dependencies, click the
"Open Examples" button below.
---------------------------------------------------------------------------

TensorFlow Privacy seems to be successfully installed before:

Requirement already satisfied: tensorflow-privacy in /usr/local/lib/python3.6/dist-packages (0.2.2)

I would be happy to know how I can keep on using the module. Thank you in advance.

[fraboeni]

Thank you very much, it works indeed.

[Mamunahmed33]

Unfortunately it didn’t work for me

`#@test {“skip”: true} !pip install --quiet --upgrade tensorflow-federated-nightly !pip install --quiet --upgrade nest-asyncio

import nest_asyncio nest_asyncio.apply()`

ERROR: tensorflow-privacy 0.6.1 has requirement attrs>=21.2.0, but you’ll have attrs 19.3.0 which is incompatible. ERROR: datascience 0.10.6 has requirement folium==0.2.1, but you’ll have folium 0.8.3 which is incompatible.

!pip install tensorflow-privacy

Requirement already satisfied: tensorflow-privacy in /usr/local/lib/python3.7/dist-packages (0.6.1) Collecting attrs>=21.2.0 Using cached https://files.pythonhosted.org/packages/20/a9/ba6f1cd1a1517ff022b35acd6a7e4246371dfab08b8e42b829b6d07913cc/attrs-21.2.0-py2.py3-none-any.whl Requirement already satisfied: scipy>=0.17 in /usr/local/lib/python3.7/dist-packages (from tensorflow-privacy) (1.4.1) Requirement already satisfied: dm-tree~=0.1.1 in /usr/local/lib/python3.7/dist-packages (from tensorflow-privacy) (0.1.6) Requirement already satisfied: mpmath in /usr/local/lib/python3.7/dist-packages (from tensorflow-privacy) (1.2.1) Requirement already satisfied: tensorflow-estimator>=2.3.0 in /usr/local/lib/python3.7/dist-packages (from tensorflow-privacy) (2.5.0) Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.7/dist-packages (from scipy>=0.17->tensorflow-privacy) (1.19.5) Requirement already satisfied: six>=1.12.0 in /usr/local/lib/python3.7/dist-packages (from dm-tree~=0.1.1->tensorflow-privacy) (1.15.0) ERROR: tensorflow-federated-nightly 0.19.0.dev20210703 has requirement attrs~=19.3.0, but you’ll have attrs 21.2.0 which is incompatible. ERROR: datascience 0.10.6 has requirement folium==0.2.1, but you’ll have folium 0.8.3 which is incompatible. Installing collected packages: attrs Found existing installation: attrs 19.3.0 Uninstalling attrs-19.3.0: Successfully uninstalled attrs-19.3.0 Successfully installed attrs-21.2.0 WARNING: The following packages were previously imported in this runtime: [attr] You must restart the runtime in order to use newly installed versions.

`import collections import attr import functools import numpy as np import tensorflow as tf import tensorflow_federated as tff

np.random.seed(0)`

__AttributeError Traceback (most recent call last) <ipython-input-7-a9c29c8e8c5e> in <module>() 4 import numpy as np 5 import tensorflow as tf ----> 6 import tensorflow_federated as tff 7 8 np.random.seed(0)

7 frames /usr/local/lib/python3.7/dist-packages/tensorflow_federated/python/aggregators/differential_privacy.py in DifferentiallyPrivateFactory() 203 query: tfp.DPQuery, 204 record_aggregation_factory: Optional[ –> 205 factory.UnweightedAggregationFactory] = None): 206 “”"Initializes DifferentiallyPrivateFactory. 207

AttributeError: module ‘tensorflow_privacy’ has no attribute ‘DPQuery’__