wgzhsh

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

PCKV

USENIX Security' 20

range-frequency

CNS' 19

wgzhsh/Awesome-Differential-Privacy

Differential privacy theory and code， differential private machine learning

wgzhsh/PCKV

USENIX Security' 20

wgzhsh/range-frequency

CNS' 19

wgzhsh/autodp

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

wgzhsh/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. )

wgzhsh/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.

wgzhsh/Differentially-Private-Deep-Learning

This repo implements several algorithms for learning with differential privacy.

wgzhsh/DP-HP

wgzhsh/DPCopula

wgzhsh/Federated-Learning-with-Local-Differential-Privacy

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

wgzhsh/FLAME

wgzhsh/geopriv4j

Geopriv4j: An Open Source Repository for Practical Location Privacy

wgzhsh/GS-WGAN

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

wgzhsh/Handcrafted-DP

wgzhsh/HDPView

Experimental source code of HDPView

wgzhsh/loss-landscape

Code for visualizing the loss landscape of neural nets

wgzhsh/Machine-Learning-is-ALL-You-Need

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

wgzhsh/membership-inference-machine-learning-literature

wgzhsh/MPGCN

[ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)

wgzhsh/ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

wgzhsh/privtc

wgzhsh/RFAD

Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"

wgzhsh/secure-kmean-clustering

Practical Privacy-Preserving K-means Clustering (PETS-2020)

wgzhsh/SecureSGD

Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).

wgzhsh/sign-language

wgzhsh/sunPytools

Useful tools for differential privacy

wgzhsh/TSPNet

TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation

wgzhsh/two-stream-pytorch

PyTorch implementation of two-stream networks for video action recognition

wgzhsh/Wavelet-Deep-Neural-Network-for-Stripe-Noise-Removal

A deep learning approach for stripe noise removal

wgzhsh/WLASL

WACV 2020 "Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison"