Improving Data Privacy with Machine Learning!

August 1, 2023

Researchers from the Pacific Northwest National Laboratory (PNNL) and the University of Texas at El Paso are collaborating on a project to improve the privacy and security of sensitive data. The project, led by PNNL Data Scientist Tony Chiang and Mathematical Sciences Professor Amy Wagler, uses machine learning to morph real-world data into artificial data that maintains the statistical characteristics of the original data yet doesn’t compromise contributors’ privacy. Artificial data can still provide valuable insights to researchers and is especially beneficial to the healthcare research industry. The project also enables students to gain hands-on research experience and collaborate with seasoned scientists, enhancing their understanding of how their work impacts real-world challenges.

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[Source: Newswise, July 31st, 2023]

What We’re Reading to Learn More: 

  • Ready, Set, Share!, Science
  • Protecting Data and Privacy, NIH

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