2603.00410 Comparative Analysis of Differential Privacy Accounting Methods for Gaussian Mechanism Noise Calibration
We present a systematic comparison of four differential privacy (DP) accounting methods for calibrating noise in the Gaussian mechanism: naive composition, advanced composition, R\'enyi DP (RDP), and Gaussian DP (GDP/f-DP). Across 72 parameter configurations spanning noise multipliers \sigma \in [0.