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 ...

The unexpected star of iOS 10 may well end up being a barely-known cryptography system to balance privacy and personalization, as Apple further positions itself as the bastion of user data protection.

Differential privacy is a mathematical framework that limits how much an algorithm's output can change when any one person's record is added or removed. This guide explains the mechanism, trade-offs, ...

Toward the end of Apple's WWDC keynote in San Francisco this week, senior VP of software engineering Craig Federighi switched gears from stickers and bubble effects to talk about a particular kind of ...

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In this Help Net Security interview, Miguel Guevara, Product Manager, Privacy Safety and Security at Google, discusses the complexities involved in scaling ...

It's no secret that big tech companies like Facebook, Google, Apple and Amazon are increasingly infiltrating our personal and social interactions to collect vast amounts of data on us every day. At ...

Apple is stepping up its artificial intelligence efforts in a bid to keep pace with rivals who have been driving full-throttle down a machine learning-powered AI superhighway, thanks to their liberal ...

Census data is hugely consequential, determining how electoral district boundaries are redrawn and how many Congressional representatives each state gets. The 2020 Census uses differential privacy to ...