Alexandra Wood, Micah Altman, Kobbi Nissim, and Salil Vadhan—collaborators with the Privacy Tools project—published a chapter in the Handbook on Using ...
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 ...
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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 ...
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 ...
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 ...
Tech companies can use differential privacy to collect and share aggregate data about user habits, while maintaining individual privacy. Tim Snell/Flickr, CC BY-ND It’s no secret that big tech ...
With its uncompromising focus on user privacy, Apple has faced challenges collecting enough data to train the large language models that power Apple Intelligence features and that will ultimately ...
Google LLC’s two major research units have made a significant advance in the area of large language model privacy with the introduction of a new model called VaultGemma, the world’s most powerful ...
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