Private_And_Secure_AI

An empirical study of Secure AI from the Udacity Course by Andrew Trask

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.ipynb_checkpoints		.ipynb_checkpoints
PySyft.ipynb		PySyft.ipynb
README.md		README.md
Simple_Linear_Model_PySyft.ipynb		Simple_Linear_Model_PySyft.ipynb
__init__.py		__init__.py
a_Generate_Parallel_Databases.ipynb		a_Generate_Parallel_Databases.ipynb
b_Evaluating_the_Privacy_of_a_Function.ipynb		b_Evaluating_the_Privacy_of_a_Function.ipynb
c_Calculate_L1_Sensitivity_For_Threshold.ipynb		c_Calculate_L1_Sensitivity_For_Threshold.ipynb
d_Local_Differential_Privacy.ipynb		d_Local_Differential_Privacy.ipynb
helpers.py		helpers.py

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