differential privacy analytics

Introduction Privacy-preserving analytics tools are designed to help organizations analyze data without exposing sensitive personal information. Instead of collecting raw, identifiable user data, these tools rely on techniques such as anonymization, aggregation, differential privacy, on-device processing, and encrypted computation. The goal is simple but powerful: gain actionable insights while respecting user privacy and regulatory obligations….