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Author SHA1 Message Date
Galen Andrew
77d962e0fc Use DP library's calibrate_dp_mechanism function to compute noise multiplier. 
calibrate_dp_mechanism is in dp_accounting's top level symbols, so after this change we can replace all of the dependencies on DP accounting subpackages with dp_accounting.

Tested by verifying that the resulting noise multiplier is the same before and after change when running all tests in multinomial_logistic_test.

PiperOrigin-RevId: 458235745
 2022-06-30 08:47:54 -07:00
Markus Kunesch
9383743252 Update attrs dependency in requirements.txt to match setup.py. 
PiperOrigin-RevId: 456986050
 2022-06-24 04:59:18 -07:00
Michael Reneer
adce0fdfc0 Update TFPs attrs dependency to version 21.4.0. 
PiperOrigin-RevId: 455655859
 2022-06-17 11:09:29 -07:00
Galen Andrew
295e533e22 Internal change. 
PiperOrigin-RevId: 455191950
 2022-06-15 12:23:30 -07:00
Steve Chien
7a5f4eddb8 Internal change. 
PiperOrigin-RevId: 455173202
 2022-06-15 11:05:05 -07:00
Galen Andrew
db292fc5d8 Automated rollback of commit bb1b7a6a46 
PiperOrigin-RevId: 454995196
 2022-06-14 17:27:35 -07:00
Galen Andrew
bb1b7a6a46 Remove deprecated rdp_accountant. Please use RdpAccountant from the differential_privacy library. 
PiperOrigin-RevId: 454964256
 2022-06-14 15:02:34 -07:00
Galen Andrew
c4fea75675 Remove differential_privacy dp_event classes from TFP top-level symbols. 
PiperOrigin-RevId: 454238513
 2022-06-10 14:09:46 -07:00
Galen Andrew
125f82707a Migrate dependency of tree_aggregation_accountant_test on rdp_accountant to differential_privacy. 
PiperOrigin-RevId: 453989532
 2022-06-09 12:44:20 -07:00
Matthew Jagielski
6c0cc858e0 Add word2vec attack example to attack library. 
PiperOrigin-RevId: 453489150
 2022-06-07 11:46:55 -07:00
Galen Andrew
fca208e514 Finish migration of mnist_lr_tutorial to use differential_privacy library. 
PiperOrigin-RevId: 453258715
 2022-06-06 12:32:54 -07:00
Galen Andrew
97f5c2fdfb Update to use new Google differential privacy gethub commit. 
PiperOrigin-RevId: 452616485
 2022-06-02 14:02:10 -07:00
Mark Daoust
222c688210 Fix colab and github links. 
PiperOrigin-RevId: 452587969
 2022-06-02 11:47:02 -07:00
A. Unique TensorFlower
7d522e9273 Remove an indentation in a comment. 
PiperOrigin-RevId: 451008704
 2022-05-25 14:01:16 -07:00
A. Unique TensorFlower
5461f911a6 Bugfixes: 
1. Child classes of 'TrainedAttacker' now have a 'backend' parameter, so require an __init__() method.

PiperOrigin-RevId: 451005298
 2022-05-25 13:46:30 -07:00
A. Unique TensorFlower
95e527acfb Support models with unconnected layers and gradients when training using a DP vectorized optimizer. 
PiperOrigin-RevId: 450659644
 2022-05-24 05:36:58 -07:00
Galen Andrew
5509adb296 Change README example to use Google DP for accounting instead of deprecated privacy/analysis/rdp_accountant functions. 
PiperOrigin-RevId: 449820802
 2022-05-19 13:29:57 -07:00
Steve Chien
f739f45299 Add .bazelversion file. 
PiperOrigin-RevId: 448082134
 2022-05-11 14:14:48 -07:00
A. Unique TensorFlower
97eec1a8e3 COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/privacy/pull/234 from ftramer:truth_serum fe44a0713952ef1615abf032947082eb5c082836 
PiperOrigin-RevId: 447573314
 2022-05-09 15:06:13 -07:00
Steve Chien
137f795352 Remove license from lr_acc.json file. 
PiperOrigin-RevId: 446850420
 2022-05-05 16:47:13 -07:00
Galen Andrew
afe676135e Migrate lm_dpsgd_tutorial from deprecated TFP rdp_accountant to Google DP. 
PiperOrigin-RevId: 446846972
 2022-05-05 16:31:54 -07:00
A. Unique TensorFlower
65eadd3a02 Enable parallel processing in the Scikit-Learn models. 
Add support for configuring the parallel processing backend for Scikit-Learn while setting up the attack models.

PiperOrigin-RevId: 446844669
 2022-05-05 16:21:15 -07:00
A. Unique TensorFlower
7eea74a6a1 COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/privacy/pull/230 from npapernot:hyperparam 8835b9c4072e3e598aa49d605e7643a2c2e65988 
PiperOrigin-RevId: 446832781
 2022-05-05 15:38:47 -07:00
A. Unique TensorFlower
930c4d13e8 Handle the case when the data comes from a multilabel classification problem but the provided samples happen to have just one positive label per sample. 
PiperOrigin-RevId: 445468067
 2022-04-29 11:36:47 -07:00
Galen Andrew
e0ab480e3d Use updated Google differential_privacy library. 
PiperOrigin-RevId: 445189891
 2022-04-28 10:36:04 -07:00
Galen Andrew
81d5880702 Migrate accounting in tutorials to Google DP. 
PiperOrigin-RevId: 444993855
 2022-04-27 16:09:27 -07:00
Fabien Hertschuh
d47cc695cd Consistently import all estimator symbols via tensorflow_estimator as opposed to using tensorflow.estimator for some symbols. 
PiperOrigin-RevId: 443417581
 2022-04-21 10:36:59 -07:00
Yilei Yang
de585e5619 Remove unused comments related to Python 2 compatibility. 
PiperOrigin-RevId: 443383047
 2022-04-21 08:20:08 -07:00
Galen Andrew
868cf54470 Deprecates implementations of RDP accounting from tensorflow_privacy in favor of differential_privacy. 
PiperOrigin-RevId: 443177278
 2022-04-20 13:25:48 -07:00
A. Unique TensorFlower
ee35642b90 Add multi-label support for Tensorflow Privacy membership attacks. 
PiperOrigin-RevId: 443176652
 2022-04-20 13:23:26 -07:00
Galen Andrew
e14618fe7c Remove DpEvent from tensorflow_privacy which has been migrated to Google DP libraries. 
PiperOrigin-RevId: 441490619
 2022-04-13 08:40:52 -07:00
Galen Andrew
34ad9dbedc Automated rollback of commit 7e89dad685 
PiperOrigin-RevId: 441245348
 2022-04-12 11:34:14 -07:00
A. Unique TensorFlower
7e89dad685 Delete TF Privacy fork of the Google DP accounting API. 
PiperOrigin-RevId: 440992901
 2022-04-11 14:12:46 -07:00
A. Unique TensorFlower
34f8774dad Migrate more references to dp_event to Google DP libraries. 
PiperOrigin-RevId: 440230682
 2022-04-07 16:39:38 -07:00
A. Unique TensorFlower
676945d3a6 Migrate references to dp_event to Google DP libraries. 
PiperOrigin-RevId: 440204574
 2022-04-07 14:42:57 -07:00
Fabien Hertschuh
5493a3baf0 Explicitly import estimator from tensorflow as a separate import instead of 
accessing it via tf.estimator and depend on the tensorflow estimator target.

PiperOrigin-RevId: 438419860
 2022-03-30 16:05:01 -07:00
Fabien Hertschuh
fc2c15ab21 Explicitly import estimator from tensorflow as a separate import instead of 
accessing it via tf.estimator and depend on the tensorflow estimator target.

PiperOrigin-RevId: 437818180
 2022-03-28 12:00:58 -07:00
Steve Chien
70ab071e23 In dp_optimizer_keras.py, set the default value of unconnected gradients to be 'zero'. 
PiperOrigin-RevId: 435759367
 2022-03-18 16:10:24 -07:00
A. Unique TensorFlower
d21e492be6 [Py Accounting] Add typing annotations in RDP accounting. 
PiperOrigin-RevId: 435703861
 2022-03-18 12:20:03 -07:00
A. Unique TensorFlower
adde2064dd Remove dependence on six and use super() in rdp_privacy_accountant 
PiperOrigin-RevId: 434668652
 2022-03-14 23:24:33 -07:00
A. Unique TensorFlower
42df23eb79 Add Laplace DpEvent 
PiperOrigin-RevId: 432475405
 2022-03-04 10:14:36 -08:00
Shuang Song
2c65cc7910 In binary log loss for membership inference attack, allow prediction to have shape (n, 1). 
PiperOrigin-RevId: 432267275
 2022-03-03 13:17:49 -08:00
Shuang Song
767788e9cf Adds per-example membership scores to trained attackers. 
PiperOrigin-RevId: 431615160
 2022-02-28 23:52:21 -08:00
Steve Chien
a33afde0c1 Add ability to specify number of microbatches in DPModel class. 
PiperOrigin-RevId: 430358084
 2022-02-22 20:32:05 -08:00
Steve Chien
bfdcb7f64f Update version number to 0.8.0. 
PiperOrigin-RevId: 430268000
 2022-02-22 12:19:05 -08:00
Shuang Song
ec7d44237c Allow customized loss functions for membership inference attack. 
PiperOrigin-RevId: 430267951
 2022-02-22 12:17:56 -08:00
Peter Kairouz
39fa1d361f Add DistributedSkellamSumQuery symbol to public API. 
PiperOrigin-RevId: 430261878
 2022-02-22 11:52:54 -08:00
Shuang Song
12541c23d4 Fix MIA readme: labels are not needed in basic usage. 
PiperOrigin-RevId: 430230630
 2022-02-22 09:37:42 -08:00
Shuang Song
7d5a57f0a8 An example for running secret sharer on image classification model. 
PiperOrigin-RevId: 430083697
 2022-02-21 14:04:51 -08:00
Shuang Song
04dd758c8a In secret generation for secret sharer, use np.random.RandomState. Restructure generate_secrets. 
PiperOrigin-RevId: 430082580
 2022-02-21 13:54:09 -08:00