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Secure and private AI with differential privacy, federated learning, and encryption in machine learning

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iahsanujunda/privacy-ai

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Privacy in AI

Repository for various privacy practice in ML, including differential privacy, federated learning, and encryption.

Dependencies

To run these notebooks we need to install Python 3.6+, PySyft, Numpy, PyTorch 1.0, and Jupyter Notebooks. The easiest way for all of this is to create a conda environment:

conda create -n pysyft python=3
conda activate pysyft
conda install numpy jupyter notebook
conda install pytorch torchvision -c pytorch
pip install syft

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Secure and private AI with differential privacy, federated learning, and encryption in machine learning

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