Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation

Yilin Yang, Kamil Adamczewski, Danica J. Sutherland +2

Maximum mean discrepancy (MMD) is a particularly useful distance metric for differentially private data generation: when used with finite-dimensional features it allows us to summa…