Being able to share information about a group of people without compromising any individual person’s privacy kinda sounds like a form of wizardry. But it’s not. It’s just math. I say “just” not to ...

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 ...

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.

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 ...

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 ...

Prominent demographers are asking the U.S. Census Bureau to abandon a controversial method for protecting survey and census participants’ confidentiality, saying it is jeopardizing the usability of ...

This is an archived article and the information in the article may be outdated. Please look at the time stamp on the story to see when it was last updated. Prominent demographers are asking the U.S.

FILE - Then-Census Bureau Director nominee Robert Santos, testifies before the Senate Homeland Security and Governmental Affairs committee, July 15, 2021, on Capitol Hill in Washington. Santos is ...