Privacy-Enhancing Technologies (PETs)
80 articles

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

  • February 25, 2022

Of Legal Tangles and Synthetic Datasets Part 1: Data disclosures

  • February 11, 2022

Classifying the Challenges of Privacy Enhancing Technologies (PETs) in IoT Data Markets.

  • January 28, 2022

A gentle introduction for applying Differential Privacy with PipelineDP

  • January 28, 2022

Announcing PipelineDP

  • November 13, 2021

Can privacy of medical images be ensured through proxy data?

  • October 29, 2021

COINSTAC: Decentralized, Differentially Private Application for Neuroimaging

  • October 1, 2021

Fully Homomorphic Encryption (FHE) Frameworks

  • October 1, 2021

Understanding the role of Privacy Enhancing Technologies (PETs) in the IoT Data Market.

  • September 3, 2021

Making autonomous vehicles robust with active learning, federated learning & V2X communication

  • August 31, 2021

Step by step Towards the Differential Privacy: Randomized Response in Privacy

  • July 6, 2021

Yes, privacy is worth the effort. Here’s why

  • June 22, 2021

Private AI: Machine Learning on Encrypted Data

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