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Deep Generative Models, Synthetic Tabular Data, and Differential
  Privacy: An Overview and Synthesis

Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis

28 July 2023
Conor Hassan
Roberto Salomone
Kerrie Mengersen
ArXivPDFHTML

Papers citing "Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis"

11 / 11 papers shown
Title
A Comprehensive Survey of Synthetic Tabular Data Generation
A Comprehensive Survey of Synthetic Tabular Data Generation
Ruxue Shi
Yili Wang
Mengnan Du
Xu Shen
Xin Wang
49
2
0
23 Apr 2025
Probabilistic causal graphs as categorical data synthesizers: Do they do better than Gaussian Copulas and Conditional Tabular GANs?
Probabilistic causal graphs as categorical data synthesizers: Do they do better than Gaussian Copulas and Conditional Tabular GANs?
Olha Shaposhnyk
Noor Abid
Mouri Zakir
Svetlana Yanushkevich
CML
41
1
0
15 Apr 2025
High-precision medical speech recognition through synthetic data and
  semantic correction: UNITED-MEDASR
High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR
Sourav Banerjee
Ayushi Agarwal
Promila Ghosh
78
3
0
24 Nov 2024
Diffusion Models in Vision: A Survey
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
M. Shah
DiffM
VLM
MedIm
194
1,143
0
10 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
224
1,304
0
02 Sep 2022
Opacus: User-Friendly Differential Privacy Library in PyTorch
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
...
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
156
349
0
25 Sep 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
50
186
0
17 Feb 2021
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Sergei Popov
S. Morozov
Artem Babenko
LMTD
88
294
0
13 Sep 2019
Cubic-Spline Flows
Cubic-Spline Flows
Conor Durkan
Artur Bekasov
Iain Murray
George Papamakarios
TPM
48
57
0
05 Jun 2019
Data Synthesis based on Generative Adversarial Networks
Data Synthesis based on Generative Adversarial Networks
Noseong Park
Mahmoud Mohammadi
Kshitij Gorde
S. Jajodia
Hongkyu Park
Youngmin Kim
116
468
0
09 Jun 2018
Generating Multi-label Discrete Patient Records using Generative
  Adversarial Networks
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
E. Choi
Siddharth Biswal
B. Malin
J. Duke
Walter F. Stewart
Jimeng Sun
SyDa
GAN
156
569
0
19 Mar 2017
1