ai-privacy-toolkit/notebooks
abigailgold 6d81cd8ed4
Support for one-hot encoded features in minimization (#87)
* Initial version with first working test
* Make sure representative values in generalizations for 1-hot encoded features are consistent.
* Updated notebooks for one-hot encoded data
* Review comments

Signed-off-by: abigailt <abigailt@il.ibm.com>
2023-12-24 18:18:18 -05:00
..
anonymization_one_hot_adult.ipynb Support for one-hot encoded features in minimization (#87) 2023-12-24 18:18:18 -05:00
attribute_inference_anonymization_nursery.ipynb New model wrappers (#32) 2022-05-12 15:44:29 +03:00
dataset_assessment_nursery.ipynb Add dataset privacy risk assessment example notebook. (#73) 2023-05-04 12:21:42 +03:00
membership_inference_anonymization_adult.ipynb Support 1-hot encoded features in anonymization + fixes related to encoding in minimization (#86) 2023-10-19 11:48:15 +03:00
membership_inference_diffpriv_nursery.ipynb Notebook demonstrating attack with differential privacy defense. 2021-04-29 09:52:55 +03:00
membership_inference_dp_diabetes_reg.ipynb Data and Model wrappers (#26) 2022-04-27 12:33:27 +03:00
minimization_adult.ipynb Limit scikit-learn version because of API changes (#81) 2023-05-14 08:52:06 +03:00
minimization_diabetes_reg.ipynb New model wrappers (#32) 2022-05-12 15:44:29 +03:00
minimization_german_credit.ipynb New model wrappers (#32) 2022-05-12 15:44:29 +03:00
minimization_one_hot_adult.ipynb Support for one-hot encoded features in minimization (#87) 2023-12-24 18:18:18 -05:00