Privacy-Enhancing Technologies (PETs)
86 articles

Articles on the latest tools and methods designed to protect data while unlocking utility and enabling innovation.

Building Differential Privacy at Scale
PRIMAL: a framework for secure evaluation of neural networks
Adaptive Federated Optimization
Local vs Global Differential Privacy
Differential Privacy using PyDP
Advances and Open Problems in Federated Learning
Scrambling Memorized Info in GPT-2
Why Venture Capitalists are Interested in Privacy Investing Now
What’s in the TensorFlow Federated (TFF) box?
The Lightness of Being Forgotten
How to Protect Your Privacy Online (right now)?
Conference Summary: End-to-end privacy-preserving deep learning on multi-institutional medical imaging data

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