Privacy-Preserving Machine Learning (PPML)
46 articles

Content on techniques that allow machine learning on private data without compromising security.

What is Encrypted Machine Learning as a Service?
Encrypted Training on Medical Text Data using SyferText and PyTorch
Announcing the OpenMined-UCSF Data-Centric Federated Learning Fellowship
Sentiment Analysis on Multiple Datasets With SyferText – Demo
What is Secure Multi-Party Computation?
Privacy-Preserving Data Science, Explained
What is Federated Learning?
Privacy-Preserving AI Summary: MIT Deep Learning Series
PySyft, PyTorch and Intel SGX: Secure Aggregation on Trusted Execution Environments
PyGrid: A Peer-to-Peer Platform for Private Data Science and Federated Learning
Inference privacy: what is it, and why do we care?
Using Privacy and Federated Learning in Recommendations – Part 1

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