leriomaggio / privacy-preserving-data-scienceLinks
Course Material for the Tutorial on Privacy Enhancing Technologies and PPML
☆13Updated 4 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
Sorting:
- A toolbox for differentially private data generation☆130Updated 2 years ago
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆25Updated 6 years ago
- Repository with tutorials and applications of Private-AI algorithms with PySyft☆73Updated 6 years ago
- Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS☆12Updated 3 years ago
- TensorFlow World 2019 Tutorial: Privacy-Preserving Machine Learning with TF Encrypted & PySyft☆46Updated 2 years ago
- A concise primer on Differential Privacy☆29Updated 5 years ago
- Code samples and documentation for SmartNoise differential privacy tools☆134Updated 3 years ago
- Privacy-preserving XGBoost Inference☆50Updated 2 years ago
- ☆41Updated 3 years ago
- Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data☆34Updated 7 years ago
- ☆24Updated 2 years ago
- Privacy Preserving Machine Learning (Manning Early Access Program)☆33Updated 3 years ago
- A Simulator for Privacy Preserving Federated Learning☆96Updated 5 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 years ago
- SAP Security research sample code and tutorials for generating differentially private synthetic datasets using generative deep learning m…☆22Updated last year
- Differentially-private Wasserstein GAN implementation in PyTorch☆28Updated 6 years ago
- Python language bindings for smartnoise-core.☆76Updated 2 years ago
- ☆42Updated 3 years ago
- Federated gradient boosted decision tree learning☆68Updated 2 years ago
- A privacy preserving NLP framework☆198Updated 2 years ago
- Tools and service for differentially private processing of tabular and relational data☆291Updated 5 months ago
- Fork of the differential privacy module of TF/models/research☆14Updated 6 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆541Updated 2 months ago
- SDNist: Benchmark data and evaluation tools for data synthesizers.☆39Updated 6 months ago
- ☆39Updated 2 years ago
- Practical ideas on securing machine learning models☆37Updated 4 years ago
- Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralised data. The r…☆43Updated 6 years ago
- Privacy-Preserving Machine Learning (PPML) Tutorial☆42Updated last month
- SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using mem…☆18Updated last year
- ☆16Updated 5 years ago