most citedPhysics-Informed Kernel Function Neural Networks for Solving Partial Differential Equations

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cs.CR2025

Privacy Loss of Noise Perturbation via Concentration Analysis of A Product Measure

Shuainan Liu, Tianxi Ji, Zhongshuo Fang +2

Noise perturbation is one of the most fundamental approaches for achieving -differential privacy (DP) guarantees when releasing the result of a query or function $f(\cdot)\i…