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
- Privacy-preserving XGBoost Inference☆48Updated last year
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆23Updated 5 years ago
- ☆44Updated 2 years ago
- Privacy Preserving Machine Learning (Manning Early Access Program)☆32Updated 2 years ago
- Privacy-Preserving Machine Learning (PPML) Tutorial☆37Updated 8 months ago
- SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning m…☆23Updated 11 months ago
- ☆23Updated last year
- ☆35Updated last year
- Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralised data. The r…☆42Updated 5 years ago
- Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS☆11Updated 2 years ago
- TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft☆46Updated last year
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆33Updated 6 years ago
- A concise primer on Differential Privacy☆28Updated 4 years ago
- A toolbox for differentially private data generation☆129Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆130Updated 2 years ago
- A library for running membership inference attacks against ML models☆142Updated 2 years ago
- Federated gradient boosted decision tree learning☆69Updated last year
- Differentially Private Optimization for PyTorch 👁🙅♀️☆184Updated 4 years ago
- Using federated learning and CNNs to analyze X-ray images of Lungs and determining whether pneumonia is present.☆33Updated 5 years ago
- Code samples and documentation for SmartNoise differential privacy tools☆132Updated 2 years ago
- A Simulator for Privacy Preserving Federated Learning☆93Updated 4 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆269Updated last year
- A Federated Learning implementation to diagnose 2 acute inflammations of bladder.. This medical dataset truly needs privacy! Because we c…☆36Updated 5 years ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 4 years ago
- Evaluating variety of k-Anonymity techniques.☆54Updated last year
- ☆39Updated 2 years ago
- Fork of the differential privacy module of TF/models/research☆14Updated 5 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆46Updated 6 years ago
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆34Updated last week
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 3 years ago