abigailt
51340fa554
Initial commit. Tests not yet passing.
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Signed-off-by: abigailt <abigailt@il.ibm.com>
2023-05-29 21:44:51 +03:00
abigailgold
8a9ef80146
Increase version to 0.2.0 ( #74 )
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* Remove tensorflow dependency if not using keras model
* Remove xgboost dependency if not using xgboost model
* Documentation updates
Signed-off-by: abigailt <abigailt@il.ibm.com>
2023-05-08 12:50:55 +03:00
andersonm-ibm
782edabd58
Add dataset privacy risk assessment example notebook. ( #73 )
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* Add dataset assessment notebook and reference to module from project README
Signed-off-by: Maya Anderson <mayaa@il.ibm.com>
2023-05-04 12:21:42 +03:00
Maya Anderson
dbb958f791
Merge pull request #71 from IBM/dataset_assessment
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Add AI privacy Dataset assessment module with two attack implementations.
Signed-off-by: Maya Anderson <mayaa@il.ibm.com>
2023-03-20 14:21:29 +02:00
abigailgold
d52fcd0041
Formatting ( #68 )
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Fix most flake/lint errors and ignore a few others
Signed-off-by: abigailt <abigailt@il.ibm.com>
2022-12-25 15:13:57 +02:00
abigailt
a76c3d2714
Fix random state to make tests pass
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Signed-off-by: abigailt <abigailt@il.ibm.com>
2022-12-21 09:51:49 +02:00
abigailt
ba88bc09ba
Add option for non-stratified split in minimizer
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Signed-off-by: abigailt <abigailt@il.ibm.com>
2022-12-21 09:23:19 +02:00
Maya Anderson
89bdcfc00e
Prepare project for CI: cleanup dependencies, fix test data location, cleanup assert.
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Signed-off-by: Maya Anderson <mayaa@il.ibm.com>
2022-12-20 16:00:36 +02:00
abigailt
805a489201
Add method to get predict function from blackbox classifier, add loss and optimizer params for pytorch models to generate shadow models
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Signed-off-by: abigailt <abigailt@il.ibm.com>
2022-11-09 14:42:55 +02:00
abigailt
44d012857f
Add loss and optimizer as properties
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Signed-off-by: abigailt <abigailt@il.ibm.com>
2022-10-19 17:29:40 +03:00
abigailt
64038f76f9
Merge with main
2022-08-01 18:12:03 +03:00
abigailt
dc5cc793ee
Merge with main
2022-08-01 18:11:34 +03:00
abigailt
a9e2a35e18
Add support for xgboost XGBClassifier ( #53 )
2022-07-28 17:21:24 +03:00
olasaadi
74ce92acc4
fix
2022-07-26 18:37:44 +03:00
abigailt
a13415ad67
Externalize BlackboxClassifier dataset (x and predictions)
2022-07-25 16:31:45 +03:00
abigailt
fb534f7a0f
BlackboxClassifier based on predictions to work with DatasetWithPredictions
2022-07-25 16:31:45 +03:00
abigailt
77a6e08c8e
Keras regression support
2022-07-24 18:45:50 +03:00
Ron Shmelkin
15d7008224
remove self from array2numpy and array2torch_tensor functions
2022-07-24 15:32:09 +03:00
Ron Shmelkin
c77e34e373
update pytorch wrapper to use torch loaders
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fix tests
and dataset style
2022-07-24 14:31:47 +03:00
olasaadi
fdc6005fce
add validation set
2022-07-22 01:01:45 +03:00
olasaadi
65388da605
fix docstring
2022-07-20 18:39:53 +03:00
olasaadi
c2c7a01078
fix bug
2022-07-20 18:36:58 +03:00
olasaadi
6f69f5557b
fix bug
2022-07-20 18:29:48 +03:00
olasaadi
3bf26b67d2
fix
2022-07-20 17:36:00 +03:00
abigailt
a7d156660e
Wrap predict method in BlackBoxClassifierPredictMethod to avoid exception in ART when supplied method returns scalars
2022-07-20 13:33:19 +03:00
abigailt
1cc73b3da1
Check for mismatch between model output type and actual output
2022-07-20 13:33:19 +03:00
abigailt
bc7ab0cc7f
Add model type to blackbox classifier ( #49 )
2022-07-20 13:33:19 +03:00
olasaadi
4973fbebc6
fix
2022-07-19 21:16:39 +03:00
abigailt
bc28f7f26a
Return None where no predictions are available
2022-07-12 09:47:32 +03:00
abigailgold
00f9c16863
Support additional use cases for data ( #46 )
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* Make ART black box classifier not apply preprocessing to data
* Add option to store predictions (in addition to x,y) in Dataset and Data classes
2022-07-11 14:28:09 +03:00
Shlomit Shachor
e25e58b253
enhance calculation of nb classes + tests ( #45 )
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* update get_nb_classes method to handle 1-hot and scalar input
2022-07-05 11:32:17 +03:00
olasaadi
07e64b1f86
fix
2022-07-04 12:58:35 +03:00
olasaadi
af7d615628
fix
2022-07-04 12:55:58 +03:00
natali
50317a8d67
fix for keras model check_and_transform_label_format requires nb_classes
2022-07-03 09:59:41 +03:00
abigailgold
c6eb553a9f
Blackbox predict method ( #43 )
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* Support output probabilities
* Support black box classifier with predict method
* Update requirements (security alert #1 )
2022-06-30 18:23:53 +03:00
Natalia Razinkov
bb224cd3dd
Bug fix for PytorchData dataset
2022-06-26 15:15:51 +03:00
Shlomit Shachor
1c4b963add
Wrappers no train ( #40 )
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1) Handle train None in Data
2) Update BB Classifier to handle None either for train or test (x or y)
2022-06-26 14:43:22 +03:00
olasaadi
21cba95a28
fix
2022-06-06 14:32:34 +03:00
olasaadi
c954f53ad7
fix
2022-06-06 14:02:40 +03:00
olasaadi
302d0c4b8c
update
2022-06-02 15:25:07 +03:00
olasaadi
a3fb68fb56
update
2022-05-30 12:52:32 +03:00
olasaadi
8de77f9afd
update
2022-05-30 11:52:47 +03:00
olasaadi
023f8764da
update
2022-05-30 11:51:22 +03:00
olasaadi
8459d6961f
fix
2022-05-23 13:35:09 +03:00
olasaadi
59d8b16bb4
fix
2022-05-23 12:49:38 +03:00
olasaadi
019f49861d
fix
2022-05-23 12:15:35 +03:00
abigailgold
dfa684da6b
Consistent one-hot-encoding ( #38 )
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* Reuse code between generalize and transform methods
* Option to get encoder from user
* Consistent encoding for decision tree and generalizations (separate from target model encoding)
2022-05-22 18:02:33 +03:00
abigailt
7055d5ecf6
Fix bug in pruning loop + fix test
2022-05-19 18:07:03 +03:00
abigailt
186f11eaaf
Fix misclassification of categorical features with no generalizations (now appear under the 'untouched' category)
2022-05-19 16:42:31 +03:00
olasaadi
e0385b0d04
score
2022-05-19 04:40:02 +03:00