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Author SHA1 Message Date
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
521a2ccda9
add art to requirements.txt 2022-07-24 15:34:04 +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 
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) 
* 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) 
* 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) 
* 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) 
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) 
* 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
olasaadi
7539ca0ead save checkpoints 2022-05-19 04:29:55 +03:00
olasaadi
521c8ce041 fix 2022-05-17 16:57:21 +03:00
abigailgold
fe676fa426
New model wrappers (#32) 
* keras wrapper + blackbox classifier wrapper (fix #7)

* fix error in NCP calculation

* Update notebooks

* Fix #25 (incorrect attack_feature indexes for social feature in notebook)

* Consistent naming of internal parameters
 2022-05-12 15:44:29 +03:00
olasaadi
f484135d84 add classes and implement some functions 2022-05-08 13:50:58 +03:00
abigailgold
fd6be8e778
Documentation updates (#29) 
* Bump version to 0.1.0 (breaking changes to some APIs)

* Update documentation

* Update requirements

* gitignore
 2022-05-02 11:46:18 +03:00
abigailgold
014aed9670
Update requirements (#28) 
* Bump version to 0.1.0 (breaking changes to some APIs)
* Update documentation
* Update requirements
 2022-05-01 15:49:18 +03:00
abigailgold
adc6b44350
Bump version and update documentation (#27) 
* Bump version to 0.1.0 (breaking changes to some APIs)
* Update documentation
 2022-05-01 15:18:07 +03:00
abigailgold
2b2dab6bef
Data and Model wrappers (#26) 
* Squashed commit of wrappers:

    Wrapper minimizer

    * apply dataset wrapper on minimizer
    * apply changes on minimization notebook
    * add black_box_access and unlimited_queries params

    Dataset wrapper anonymizer

    Add features_names to ArrayDataset
    and allow providing features names in QI and Cat features not just indexes

    update notebooks

    categorical features and QI passed by indexes
    dataset include feature names and is_pandas param

    add pytorch Dataset

    Remove redundant code.
    Use data wrappers in model wrapper APIs.

    add generic dataset components 

    Create initial version of wrappers for models

* Fix handling of categorical features
 2022-04-27 12:33:27 +03:00
abigailt
b8d2535231 Fix handling of categorical features 2022-04-25 17:41:15 +03:00