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 ...

Analyses of people’s medical, behavioral, and sociological data are essential for understanding the pandemic situation and devising remedial measures. For example, researchers evaluated people's ...

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Ahead of the 2019 TensorFlow Dev Summit, Google is announcing a new way for third-party developers to adopt differential privacy when training machine learning models ...

An Apple software engineer recently revealed that Apple is now rolling out its use of differential privacy to cover both web browsing and health data, as it now uses the technique to process millions ...

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 ...

Alexandra Wood, Micah Altman, Kobbi Nissim, and Salil Vadhan—collaborators with the Privacy Tools project—published a chapter in the Handbook on Using ...