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Differential privacy adds statistical noise to datasets to protect individual identities while preserving aggregate insights.
- True
- False
Answer: True
Differential privacy mathematically guarantees that query results don't reveal individual records. Used in census data, health analytics, and tech company telemetry. Balances utility and privacy. Critical for privacy-preserving analytics questions.