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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, ...

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 ...

In 2024, we saw a huge influx of generative AI applications in business. In many industries though, like healthcare, finance and law, regulation is often a barrier to progress. In fact, 47% of data ...

In a big change of direction, Apple at WWDC announced plans to use differential privacy in iOS and macOS as a way in which it can collect useful data in order to securely provide its customers with ...

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 ...

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 ...

When the U.S. Census Bureau releases the first local results with demographic breakdowns from the 2020 decennial census on Thursday, the numbers will reflect a new method for protecting the details of ...