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Joseph Near

Joseph Near

Joseph Near is an assistant professor of computer science at the University of Vermont who supports NIST as a moderator for the Privacy Engineering Collaboration Space. His research interests include data privacy, computer security, and programming languages. Joseph received his B.S. in computer science from Indiana University, and his M.S. and Ph.D. in computer science from MIT.

Privacy Attacks in Federated Learning

This post is part of a series on privacy-preserving federated learning. The series is a collaboration between NIST and the UK government’s Centre for Data

Differentially Private Synthetic Data

In this series, we've examined several different ways to answer queries over data using differential privacy. So far each approach requires changing the way we

Threat Models for Differential Privacy

This post is part of a series on differential privacy. Learn more and browse all the posts published to date on the differential privacy blog series page in