Natural f-DP filters are invalid for adaptive composition, but a CLT-based GDP approximation gives tighter bounds than RDP for subsampled Gaussians when sampling rate is near 0 or 1.
(2024): sup γ≥0 |Hn(γ)−H(γ)| 1 +γ n→∞ − − − − →0 Proposition C.4.Uniform convergence implies convergence in∆-divergence
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$f$-Differential Privacy Filters: Validity and Approximate Solutions
Natural f-DP filters are invalid for adaptive composition, but a CLT-based GDP approximation gives tighter bounds than RDP for subsampled Gaussians when sampling rate is near 0 or 1.