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papersTODAY 04:00 UTC

Auditing User-Level Privacy in Private Evolution Synthetic Data

A new arXiv paper examines how to audit user-level privacy guarantees in Private Evolution, a method for generating synthetic data in federated settings. The approach collects clipped user votes over a shared candidate bank and turns them into a differentially private histogram with calibrated noise. The work focuses on verifying that individual users' raw data remains protected under this mechanism.

privacy/differential-privacy/synthetic-data/federated-learning