Polynomial magic! Hermite polynomials for private data generation. - Mijung Park; Margarita Vinaroz; Mohammad-Amin Charusaie; Frederik Harder (CoRR, 2021)

DP-SEP! Differentially Private Stochastic Expectation Propagation. - Margarita Vinaroz; Mijung Park (CoRR, 2021)

ABCDP: Approximate Bayesian Computation with Differential Privacy. - Mijung Park; Margarita Vinaroz; Wittawat Jitkrittum (Entropy, 2021)

Hermite Polynomial Features for Private Data Generation. - Margarita Vinaroz; Mohammad-Amin Charusaie; Frederik Harder; Kamil Adamczewski; Mijung Park (ICML, 2022)

Differentially Private Stochastic Expectation Propagation. - Margarita Vinaroz; Mijung Park (Trans. Mach. Learn. Res., 2022)

Differentially Private Kernel Inducing Points (DP-KIP) for Privacy-preserving Data Distillation. - Margarita Vinaroz; Mijung Park (CoRR, 2023)

Differentially Private Latent Diffusion Models. - Michael F. Liu; Saiyue Lyu; Margarita Vinaroz; Mijung Park (Trans. Mach. Learn. Res., 2024)

Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation. - Margarita Vinaroz; Mijung Park (Trans. Mach. Learn. Res., 2024)