Differentially Private Database Release via Kernel Mean Embeddings

Differentially Private Database Release via Kernel Mean Embeddings

4 October 2017

Ilya O. Tolstikhin

Bernhard Schölkopf

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

18 / 18 papers shown

Title
From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis Kecen Li Chen Gong Xiaochen Li Yuzhong Zhao Xinwen Hou Tianhao Wang 39 1 0 02 Apr 2025
Differentially Private Synthetic Data with Private Density Estimation Nikolija Bojkovic Po-Ling Loh SyDa 39 0 0 06 May 2024
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling Antoine Chatalic Nicolas Schreuder E. De Vito Lorenzo Rosasco 24 3 0 22 Nov 2023
Differentially Private Synthetic Data Using KD-Trees Eleonora Kreacic Navid Nouri Vamsi K. Potluru T. Balch Manuela Veloso SyDa 17 2 0 19 Jun 2023
Differentially Private Low-dimensional Synthetic Data from High-dimensional Datasets Yiyun He Thomas Strohmer Roman Vershynin Yizhe Zhu SyDa 31 1 0 26 May 2023
M $^2$ M: A general method to perform various data analysis tasks from a differentially private sketch F. Houssiau V. Schellekens Antoine Chatalic Shreyas Kumar Annamraju Yves-Alexandre de Montjoye 19 0 0 25 Nov 2022
RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier Features Mateus P. Otto Rafael Izbicki 35 1 0 11 Nov 2022
Coefficient-based Regularized Distribution Regression Yuan Mao Lei Shi Zheng-Chu Guo 22 4 0 26 Aug 2022
Nyström Kernel Mean Embeddings Antoine Chatalic Nicolas Schreuder Alessandro Rudi Lorenzo Rosasco 19 22 0 31 Jan 2022
Hermite Polynomial Features for Private Data Generation Margarita Vinaroz Mohammad-Amin Charusaie Frederik Harder Kamil Adamczewski Mijung Park 23 26 0 09 Jun 2021
ADePT: Auto-encoder based Differentially Private Text Transformation Satyapriya Krishna Rahul Gupta Christophe Dupuy MIACV SILM 13 35 0 29 Jan 2021
Splintering with distributions: A stochastic decoy scheme for private computation Praneeth Vepakomma Julia Balla Ramesh Raskar FedML 74 2 0 06 Jul 2020
A One-Pass Private Sketch for Most Machine Learning Tasks Benjamin Coleman Anshumali Shrivastava SyDa 10 4 0 16 Jun 2020
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation Frederik Harder Kamil Adamczewski Mijung Park SyDa 25 101 0 26 Feb 2020
Model Reuse with Reduced Kernel Mean Embedding Specification Xi-Zhu Wu Wen-qi Xu Song Liu Zhi-Hua Zhou 22 24 0 20 Jan 2020
Utility Preserving Secure Private Data Release J. Dhaliwal Geoffrey So Aleatha Parker-Wood Mélanie Beck 14 2 0 28 Jan 2019
A Differentially Private Kernel Two-Sample Test Anant Raj H. Law Dino Sejdinovic Mijung Park 14 4 0 01 Aug 2018
Consistent Kernel Mean Estimation for Functions of Random Variables Carl-Johann Simon-Gabriel Adam Scibior Ilya O. Tolstikhin Bernhard Schölkopf 40 14 0 19 Oct 2016