SPIN-UMass / ML-Privacy-Regulization

Machine Learning with Membership Privacy using Adversarial Regularization

Getting started

requirements:

numpy
pytorch

Usage

Purchase dataset:

python PPN_Purchase_GIT.py

Texas dataset:

python PPN_Texas_GIT.py

CIFAR dataset:

python PPN_Alexnet_GIT.py

Citing

@inproceedings{nasr2018machine,
 title={Machine learning with membership privacy using adversarial regularization},
 author={Nasr, Milad and Shokri, Reza and Houmansadr, Amir},
 booktitle={Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security},
 pages={634--646},
 year={2018},
 organization={ACM}
 }