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David Darais

David Darais

David Darais is a Principal Scientist at Galois, Inc. and supports NIST as a moderator for the Privacy Engineering Collaboration Space. David's research focuses on tools for achieving reliable software in critical, security-sensitive, and privacy-sensitive systems. David received his B.S. from the University of Utah, M.S. from Harvard University and Ph.D. from the University of Maryland.

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