Hermite Polynomial Features for Private Data Generation

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Hermite Polynomial Features for Private Data Generation

9 June 2021

Margarita Vinaroz

Mohammad-Amin Charusaie

Frederik Harder

Kamil Adamczewski

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Papers citing "Hermite Polynomial Features for Private Data Generation"

8 / 8 papers shown

Title
VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis Chia-Yi Hsu Jia-You Chen Yu-Lin Tsai Chih-Hsun Lin Pin-Yu Chen Chia-Mu Yu Chun-ying Huang 75 0 0 20 Mar 2025
RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models Tanqiu Jiang Changjiang Li Fenglong Ma Ting Wang 119 1 0 18 Feb 2025
Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model Zinan Lin Tadas Baltrusaitis Wenyu Wang Sergey Yekhanin SyDa 184 4 0 08 Feb 2025
PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 125 0 0 03 Oct 2024
Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zinan Lin Sivakanth Gopi Janardhan Kulkarni Harsha Nori Sergey Yekhanin 163 44 0 24 May 2023
Private GANs, Revisited Alex Bie Gautam Kamath Guojun Zhang 104 16 0 06 Feb 2023
Differentially Private Diffusion Models Tim Dockhorn Tianshi Cao Arash Vahdat Karsten Kreis DiffM 89 100 0 18 Oct 2022
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release Donghao Li Yang Cao Yuan Yao 85 2 0 14 Feb 2022