HPS

This package is built based on the paper "Enhanced Privacy Bound for Shuffle Model with Personalized Privacy".

Usage

Test privacy amplification effect when fix $\delta$:

python evaluate_bounds.py

Test privacy amplification effect when fix $\epsilon$:

python evaluate_bounds_delta.py

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
__pycache__		__pycache__
blanket/shuffleddp		blanket/shuffleddp
.DS_Store		.DS_Store
README.md		README.md
__init__.py		__init__.py
applifytheory.py		applifytheory.py
computeamplification.py		computeamplification.py
computeamplification_GDP.py		computeamplification_GDP.py
computeamplification_HP_fDP.py		computeamplification_HP_fDP.py
computeamplification_approx.py		computeamplification_approx.py
computeamplification_perS.py		computeamplification_perS.py
evaluate_bounds.py		evaluate_bounds.py
evaluate_bounds_delta.py		evaluate_bounds_delta.py
gdp_to_dp.py		gdp_to_dp.py