Imagine a hospital in rural Texas can have the same AI capabilities as a research hospital in New York City running cutting edge AI to help with the diagnosis while preserving patient privacy. This is ...

Traditionally, companies have relied upon data masking, sometimes called de-identification, to protect data privacy. The basic idea is to remove all personally identifiable information (PII) from each ...

While conducting the 2020 census, the U.S. Census Bureau took a new approach to ensure that data collected from individuals and households remained confidential. They implemented a powerful new ...

Hiding sensitive data in a sea of noise might have more value than encryption in some use cases. Here are the most likely differential privacy applications and their trade-offs. In the past, the ...

In a world increasingly dominated by data, privacy has become both a precious commodity and a pressing concern. Enter differential privacy to protect individuals’ data in an era where information, ...