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AI’s

applications

Differential Privacy

A mathematical framework for providing provable privacy guarantees when analyzing or training on sensitive data. Differential privacy adds calibrated noise to data or computations, ensuring that no individual's data significantly affects the output.

In practice

Apple uses differential privacy to collect usage statistics from millions of iPhones without identifying individual users.