The U.S. Census Bureau on Wednesday said it was putting on hold plans to apply by 2025 a controversial method for protecting the privacy of participants in its most comprehensive survey of Americans ...

NIST announced the new guidelines on differential privacy guarantees and stated on its website that its goal is to help data-centric organizations strike a balance between privacy and accuracy.

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...

The National Institute of Standards and Technology (NIST) has finalized its guidelines for evaluating differential privacy to help organizations share and analyze large datasets while protecting ...