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Privacy Re-identification Attacks on Tabular GANs

Privacy Re-identification Attacks on Tabular GANs

31 March 2024
Abdallah Alshantti
Adil Rasheed
Frank Westad
    AAML
ArXivPDFHTML

Papers citing "Privacy Re-identification Attacks on Tabular GANs"

7 / 7 papers shown
Title
Robin Hood and Matthew Effects: Differential Privacy Has Disparate
  Impact on Synthetic Data
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Georgi Ganev
Bristena Oprisanu
Emiliano De Cristofaro
37
57
0
23 Sep 2021
CTAB-GAN: Effective Table Data Synthesizing
CTAB-GAN: Effective Table Data Synthesizing
Zilong Zhao
A. Kunar
H. V. D. Scheer
Robert Birke
L. Chen
CML
123
198
0
16 Feb 2021
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
196
358
0
24 Mar 2020
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
91
294
0
13 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
282
10,354
0
12 Dec 2018
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
119
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
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