Differentially Private Database Release via Kernel Mean Embeddings

4 October 2017

Papers citing "Differentially Private Database Release via Kernel Mean Embeddings"

5 / 5 papers shown

Title
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling Antoine Chatalic Nicolas Schreuder E. De Vito Lorenzo Rosasco 19 3 0 22 Nov 2023
RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier Features Mateus P. Otto Rafael Izbicki 27 1 0 11 Nov 2022
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation Frederik Harder Kamil Adamczewski Mijung Park SyDa 18 101 0 26 Feb 2020
Model Reuse with Reduced Kernel Mean Embedding Specification Xi-Zhu Wu Wen-qi Xu Song Liu Zhi-Hua Zhou 20 24 0 20 Jan 2020
Consistent Kernel Mean Estimation for Functions of Random Variables Carl-Johann Simon-Gabriel Adam Scibior Ilya O. Tolstikhin Bernhard Schölkopf 32 14 0 19 Oct 2016