DataSynthesizer generates synthetic data that simulates a given dataset.
It aims to facilitate the collaborations between data scientists and owners of sensitive data. It applies Differential Privacy techniques to achieve strong privacy guarantee.
For more details, please refer to DataSynthesizer: Privacy-Preserving Synthetic Datasets
pip install DataSynthesizer
Assumptions for the Input Dataset
- The input dataset is a table in first normal form (1NF).
- When implementing differential privacy, DataSynthesizer injects noises into the statistics within active domain that are the values presented in the table.
Use Jupyter Notebooks
# install jupyter first pip install jupyter
There are some demos in
DataSynthesizer can be executed by a web-based UI.
# install django pip install django # go to the directory for webUI cd DataSynthesizer/webUI/ # run the server python manage.py runserver
Then open a browser and visit http://127.0.0.1:8000/synthesizer/