Model_Accurancy_Without_Noise ---> compute the accuracy of released logistic model.
Model_Inversion_Without_Noise ---> compute the accuracy of model inversion attack without noise added.
Same_epsilon_value ---> add same noise into all attributes and test the accuracy of model inversion attack.
different_epsilon_value ---> add different noise into each attribute(more noise into sensitve attribute, less noise into non-senstive attribute),
and test the accuracy of model inversion attack.
Functional Mechnism % Copyright 2012 Jun Zhang
Model Inversion and all rest of parts % Copyright 2015 Cheng Si
regression-model-fitting-under-differential-privacy-and-model-inversion-attack-source-code's People