GitHub - cxs040/Regression-Model-Fitting-under-Differential-Privacy-and-Model-Inversion-Attack-Source-Code: Source code for paper: Regression Model Fitting under Differential Privacy and Model Inversion Attack

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Source code for paper: Regression Model Fitting under Differential Privacy and Model Inversion Attack

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Model_Accurancy_Without_Noise		Model_Accurancy_Without_Noise
Model_Inversion_Without_Noise		Model_Inversion_Without_Noise
different_epsilon_value		different_epsilon_value
same_epsilon_value		same_epsilon_value
.gitattributes		.gitattributes
readme.txt		readme.txt

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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