Differential privacy - Wikipedia
An informal definition of differential privacy Differential privacy (DP) is a mathematically rigorous framework for releasing statistical information about datasets while protecting the privacy of individual data subjects. It enables a data holder to share aggregate patterns of the group while limiting information that is leaked about specific individuals.[1][2] This is done by injecting carefully
Apple’s ‘Differential Privacy’ Is About Collecting Your Data---But Not ​Your Data
"We believe you should have great features and great privacy," Federighi told the developer crowd. "Differential privacy is a research topic in the areas of statistics and data analytics that uses hashing, subsampling and noise injection to enable...crowdsourced learning while keeping the data of individual users completely private. Apple has been doing some super-important work in this area to en
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