Researchers at three universities have accused Apple of taking an ‘immense risk’ with the security of user data thanks to what they say is a poor implementation of differential privacy.
Differential privacy is a method of allowing Apple and other companies to analyse user data in a way intended to be completely anonymous. Enough noise is injected into the data that it is supposed to be impossible to match any of that data to a specific individual.
However, security researchers have for the second time questioned how well Apple’s implementation works in practice …
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