haseyan3104's Stars
sunblaze-ucb/dpml-benchmark
This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.
ChrisWaites/pyvacy
Differentially Private Optimization for PyTorch 👁🙅♀️
SAP-samples/machine-learning-diff-private-federated-learning
Simulate a federated setting and run differentially private federated learning.
cmla-psu/statdp
Statistical Counterexample Detector for Differential Privacy
gitgik/differential-privacy-federated-learning
Curated notebooks on how to train neural networks using differential privacy and federated learning.
Yangfan-Jiang/Federated-Learning-with-Differential-Privacy
Implementation of dp-based federated learning framework using PyTorch
IBM/discrete-gaussian-differential-privacy
Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
AceEviliano/Differential-Privacy-Explained
Explanatory notes on Cynthia Dwork's text on privacy originally created for Facebook's SPAI scholarship challenge
opendp/opendp
The core library of differential privacy algorithms powering the OpenDP Project.
bargavj/EvaluatingDPML
This project's goal is to evaluate the privacy leakage of differentially private machine learning models.
haiphanNJIT/PrivateDeepLearning
Differential Privacy Preservation in Deep Learning under Model Attacks
forestneo/sunPytools
Useful tools for differential privacy
opendp/smartnoise-sdk
Tools and service for differentially private processing of tabular and relational data
yuxiangw/autodp
autodp: A flexible and easy-to-use package for differential privacy
gretelai/gretel-synthetics
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
OpenMined/PyDP
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
opendp/smartnoise-core
Differential privacy validator and runtime
IBM/differential-privacy-library
Diffprivlib: The IBM Differential Privacy Library
google/differential-privacy
Google's differential privacy libraries.
pytorch/opacus
Training PyTorch models with differential privacy