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 ...

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 an era when data is everything, everywhere, all at once and computation has almost no limit, ensuring privacy while leveraging data analytics is paramount. The US Department of Commerce’s National ...

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 ...

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...