Wired reports on Uber joining Apple and other tech companies in incorporating differential privacy into their practices. The ride-hailing company released an open-source tool allowing it and other companies to use a method of differential privacy called "elastic sensitivity." The technique was developed by University of California at Berkeley researchers, where it uses mathematics to set limits on the number of statistical queries Uber staff can conduct on traffic patterns and drivers’ revenue. Uber’s elastic sensitivity technique also adds noise to database queries, adding more noise if the potential for a privacy breach is more severe. "The intent is for it to be used in cases where there's authorized access to some amount of data but we want to add additional protection on top of that," Uber Head of Privacy Engineering Menotti Minutillo said.
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