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autodp

autodp: A flexible and easy-to-use package for differential privacy

awesome-differential-privacy

Differential privacy theory and code， differential private machine learning

awesome-privacy

Repository for collection of research papers on privacy.

bayesian-differential-privacy

Code for the paper "Bayesian Differential Privacy for Machine Learning"

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

br_algothon

Stock directionality using sentiment analysis and social media data. Created during Algothon 2019 at BlackRock.

coin-press

Simple and practical private mean and covariance estimation. NeurIPS 2020.

collectivelocaldifferentialprivacy

contrastiveleaks

count-min-sketch

differential-privacy

Naive implementation of basic Differential-Privacy framework and algorithms

differential-privacy-based-federated-learning

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

differential-privacy-synthetic-data-challenge-assets

This repository contains all public data, python scripts, and documentation relating to NIST Public Safety Communications Research Division's Differential Privacy program including past prize challenges and bechmark problem sets.

differentially-private-deep-learning

This repo implements several algorithms for learning with differential privacy.

discrete-gaussian-differential-privacy

Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010

dp-hp

dp-sparse-mcs

code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16

dpc4.5

Privacy-preserving data mining with decision tree

dpcopula

federated-learning-with-local-differential-privacy

Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.

flame

geopriv4j

Geopriv4j: An Open Source Repository for Practical Location Privacy

gfim_ldp

GFIM: An novel algorithm of frequent item mining with local differential privacy

gfmn

Pytorch code for "Learning Implicit Generative Models by Matching Perceptual Features", ICCV 2019

gs-wgan

Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)

handcrafted-dp

hdpview

Experimental source code of HDPView

laplace-and-exponential-mechanisms-for-privacy

Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.

learn_to_hash

loss-landscape

Code for visualizing the loss landscape of neural nets