leriomaggio / privacy-preserving-data-science
Course Material for the Tutorial on Privacy Enhancing Technologies and PPML
☆12Updated 3 years ago
Alternatives and similar repositories for privacy-preserving-data-science:
Users that are interested in privacy-preserving-data-science are comparing it to the libraries listed below
- ☆23Updated last year
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆24Updated 5 years ago
- Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS☆12Updated 2 years ago
- Privacy Preserving Machine Learning (Manning Early Access Program)☆32Updated 2 years ago
- A concise primer on Differential Privacy☆29Updated 4 years ago
- A toolbox for differentially private data generation☆131Updated last year
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 3 years ago
- A library for running membership inference attacks against ML models☆144Updated 2 years ago
- Privacy-preserving XGBoost Inference☆48Updated 2 years ago
- ☆35Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆131Updated 2 years ago
- Differentially Private (tabular) Generative Models Papers with Code☆48Updated 9 months ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆35Updated 2 weeks ago
- SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning m…☆23Updated last year
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆43Updated 3 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆46Updated 6 years ago
- TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft☆46Updated last year
- Privacy-Preserving Machine Learning (PPML) Tutorial☆37Updated 10 months ago
- Differential private machine learning☆191Updated 3 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆64Updated 6 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- ☆10Updated last year
- Source code of paper "Differentially Private Generative Adversarial Network"☆69Updated 6 years ago
- Federated gradient boosted decision tree learning☆68Updated 2 years ago
- ☆39Updated 2 years ago
- SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using mem…☆17Updated 11 months ago
- An implementation of the tools described in the paper entitled "Graphical-model based estimation and inference for differential privacy"☆102Updated last week
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago