Differential privacy composition theorems

Differential privacy composition theorems are mathematical tools used in differential privacy to analyze and bound the accumulated privacy loss when multiple differentially private mechanisms are applied to the same dataset. They quantify how privacy guarantees degrade as more queries or analyses are performed, and are essential for designing complex differentially private systems and algorithms.

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