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DPD-fVAE: Synthetic Data Generation Using Federated Variational
  Autoencoders With Differentially-Private Decoder

DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder

21 November 2022
Bjarne Pfitzner
B. Arnrich
    FedML
ArXivPDFHTML

Papers citing "DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder"

13 / 13 papers shown
Title
From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis
From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis
Kecen Li
Chen Gong
Xiaochen Li
Yuzhong Zhao
Xinwen Hou
Tianhao Wang
36
1
0
02 Apr 2025
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
Chen Hu
Hanchi Ren
Jingjing Deng
Xianghua Xie
Xiaoke Ma
FedML
58
0
0
30 Aug 2024
Efficient Differentially Private Fine-Tuning of Diffusion Models
Efficient Differentially Private Fine-Tuning of Diffusion Models
Jing Liu
Andrew Lowy
T. Koike-Akino
K. Parsons
Ye Wang
23
0
0
07 Jun 2024
Differentially Private Fine-Tuning of Diffusion Models
Differentially Private Fine-Tuning of Diffusion Models
Yu-Lin Tsai
Yizhe Li
Zekai Chen
Po-yu Chen
Chia-Mu Yu
Xuebin Ren
Francois Buet-Golfouse
42
3
0
03 Jun 2024
A Systematic Review of Federated Generative Models
A Systematic Review of Federated Generative Models
Ashkan Vedadi Gargary
Emiliano De Cristofaro
AI4CE
36
2
0
26 May 2024
PAC Privacy Preserving Diffusion Models
PAC Privacy Preserving Diffusion Models
Qipan Xu
Youlong Ding
Xinxi Zhang
Jie Gao
Hao Wang
DiffM
21
0
0
02 Dec 2023
PrivImage: Differentially Private Synthetic Image Generation using
  Diffusion Models with Semantic-Aware Pretraining
PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining
Kecen Li
Chen Gong
Zhixiang Li
Yuzhong Zhao
Xinwen Hou
Tianhao Wang
25
10
0
19 Oct 2023
A Unified View of Differentially Private Deep Generative Modeling
A Unified View of Differentially Private Deep Generative Modeling
Dingfan Chen
Raouf Kerkouche
Mario Fritz
SyDa
21
4
0
27 Sep 2023
Differentially Private Latent Diffusion Models
Differentially Private Latent Diffusion Models
Saiyue Lyu
Michael F. Liu
Margarita Vinaroz
Mijung Park
19
24
0
25 May 2023
DPAF: Image Synthesis via Differentially Private Aggregation in Forward
  Phase
DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase
Chih-Hsun Lin
Chia-Yi Hsu
Chia-Mu Yu
Yang Cao
Chun-ying Huang
24
1
0
20 Apr 2023
Differentially Private Diffusion Models Generate Useful Synthetic Images
Differentially Private Diffusion Models Generate Useful Synthetic Images
Sahra Ghalebikesabi
Leonard Berrada
Sven Gowal
Ira Ktena
Robert Stanforth
Jamie Hayes
Soham De
Samuel L. Smith
Olivia Wiles
Borja Balle
DiffM
23
69
0
27 Feb 2023
Differentially Private Normalizing Flows for Density Estimation, Data
  Synthesis, and Variational Inference with Application to Electronic Health
  Records
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records
Bingyue Su
Yu Wang
Daniele E. Schiavazzi
Fang Liu
16
2
0
11 Feb 2023
FedDPGAN: Federated Differentially Private Generative Adversarial
  Networks Framework for the Detection of COVID-19 Pneumonia
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
Longling Zhang
Bochen Shen
A. Barnawi
Shan Xi
Neeraj Kumar
Yi Wu
FedML
MedIm
71
80
0
26 Apr 2021
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