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DP-MERF: Differentially Private Mean Embeddings with Random Features for
Practical Privacy-Preserving Data Generation

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DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation

26 February 2020

Frederik Harder

Kamil Adamczewski

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Papers citing "DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation"

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Title
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 121 0 0 25 Nov 2022
DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder Bjarne Pfitzner B. Arnrich FedML 125 20 0 21 Nov 2022
Private Set Generation with Discriminative Information Dingfan Chen Raouf Kerkouche Mario Fritz DD 98 43 0 07 Nov 2022
Differentially Private Diffusion Models Tim Dockhorn Tianshi Cao Arash Vahdat Karsten Kreis DiffM 174 114 0 18 Oct 2022
Private Synthetic Data for Multitask Learning and Marginal Queries G. Vietri Cédric Archambeau Sergul Aydore William Brown Michael Kearns Aaron Roth Ankit Siva Shuai Tang Zhiwei Steven Wu SyDa 134 35 0 15 Sep 2022
DP $^2$ -VAE: Differentially Private Pre-trained Variational Autoencoders Dihong Jiang Guojun Zhang Mahdi Karami Xi Chen Yunfeng Shao Yaoliang Yu 132 17 0 05 Aug 2022
Privacy for Free: How does Dataset Condensation Help Privacy? Tian Dong Bo Zhao Lingjuan Lyu DD 162 127 0 01 Jun 2022
Noise-Aware Statistical Inference with Differentially Private Synthetic Data Ossi Raisa Hibiki Ito Samuel Kaski Antti Honkela SyDa 169 12 0 28 May 2022
Pre-trained Perceptual Features Improve Differentially Private Image Generation Fredrik Harder Milad Jalali Asadabadi Danica J. Sutherland Mijung Park 196 31 0 25 May 2022
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data Fumiyuki Kato Tsubasa Takahashi Shun Takagi Yang Cao Seng Pei Liew Masatoshi Yoshikawa 113 7 0 14 Mar 2022
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release Donghao Li Yang Cao Xingtai Lv 115 2 0 14 Feb 2022
Benchmarking Differentially Private Synthetic Data Generation Algorithms Yuchao Tao Ryan McKenna Michael Hay Ashwin Machanavajjhala G. Miklau SyDa 159 96 0 16 Dec 2021
Two-Bit Aggregation for Communication Efficient and Differentially Private Federated Learning M. Aghapour A. Ferdowsi Walid Saad FedML 46 1 0 06 Oct 2021
Hermite Polynomial Features for Private Data Generation Margarita Vinaroz Mohammad-Amin Charusaie Frederik Harder Kamil Adamczewski Mijung Park 157 27 0 09 Jun 2021
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning Seng Pei Liew Tsubasa Takahashi Michihiko Ueno FedML 125 30 0 08 Jun 2021
Population synthesis for urban resident modeling using deep generative models M. Johnsen Oliver Brandt Sergio Garrido Francisco Câmara Pereira 112 13 0 13 Nov 2020
One Step to Efficient Synthetic Data Jordan Awan Zhanrui Cai 173 7 0 03 Jun 2020
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators Yunhui Long Wei Ping Zhuolin Yang B. Kailkhura Aston Zhang C.A. Gunter Yue Liu 144 77 0 21 Jun 2019