nobodyyzhao's Stars
google/differential-privacy
Google's differential privacy libraries.
p-b-j/uscb-das-container-public
Code and infrastructure for running the US Census Bureau's 2020 Disclosure Avoidance System in a Singularity container.
mplspunk/awesome-privacy-engineering
A curated list of resources related to privacy engineering
python-pillow/Pillow
Python Imaging Library (Fork)
vt-vl-lab/3d-photo-inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
bcmullins/bcmullins.github.io
CodeYueXiong/Master-Thesis-SyntheticDataGeneration
Master Thesis on Generating Synthetic Data and Disclosure Control of Global COVID-19 Trends and Impact Survey Microdata and Opendata, especially focusing on the evaluation of different synthetic datasets.
facebookresearch/fbpcs
FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data.
hharcolezi/multi-freq-ldpy
Multiple Frequency Estimation Under Local Differential Privacy in Python
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
IBM/discrete-gaussian-differential-privacy
Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
rasmus-pagh/private-countsketch
Experiments on private CountSketch
umadesai/census-dp
Disclosure Avoidance Repository
Git-Model/__init_Modeling__
comp-imaging-sci/null-space-projection-operators
pwscup/dp-locationdata
位置情報コンペ用データ生成
forestneo/sunPytools
Useful tools for differential privacy