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Privacy Vulnerabilities in Marginals-based Synthetic Data
v1v2 (latest)

Privacy Vulnerabilities in Marginals-based Synthetic Data

7 October 2024
Steven Golob
Sikha Pentyala
Anuar Maratkhan
Martine De Cock
ArXiv (abs)PDFHTML

Papers citing "Privacy Vulnerabilities in Marginals-based Synthetic Data"

30 / 30 papers shown
Title
Synthetic Tabular Data: Methods, Attacks and Defenses
Synthetic Tabular Data: Methods, Attacks and Defenses
Graham Cormode
Samuel Maddock
Enayat Ullah
Shripad Gade
62
0
0
06 Jun 2025
The DCR Delusion: Measuring the Privacy Risk of Synthetic Data
The DCR Delusion: Measuring the Privacy Risk of Synthetic Data
Zexi Yao
Natasa Krco
Georgi Ganev
Yves-Alexandre de Montjoye
443
0
0
02 May 2025
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data
Georgi Ganev
Meenatchi Sundaram Muthu Selva Annamalai
Sofiane Mahiou
Emiliano De Cristofaro
72
3
0
09 Apr 2025
TAMIS: Tailored Membership Inference Attacks on Synthetic Data
TAMIS: Tailored Membership Inference Attacks on Synthetic Data
Paul Andrey
B. L. Bars
Marc Tommasi
116
0
0
01 Apr 2025
Systematic Assessment of Tabular Data Synthesis Algorithms
Systematic Assessment of Tabular Data Synthesis Algorithms
Yuntao Du
Ninghui Li
67
6
0
09 Feb 2024
Assessment of Differentially Private Synthetic Data for Utility and
  Fairness in End-to-End Machine Learning Pipelines for Tabular Data
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
Mayana Pereira
Meghana Kshirsagar
Soumendu Sundar Mukherjee
Rahul Dodhia
J. L. Ferres
Rafael de Sousa
SyDa
76
11
0
30 Oct 2023
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent
  Space
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
Hengrui Zhang
Jiani Zhang
Balasubramaniam Srinivasan
Zhengyuan Shen
Xiao Qin
Christos Faloutsos
Huzefa Rangwala
George Karypis
DiffM
100
111
0
14 Oct 2023
Generating tabular datasets under differential privacy
Generating tabular datasets under differential privacy
G. Truda
DiffM
66
6
0
28 Aug 2023
SoK: Privacy-Preserving Data Synthesis
SoK: Privacy-Preserving Data Synthesis
Yuzheng Hu
Fan Wu
Yue Liu
Yunhui Long
Gonzalo Munilla Garrido
Chang Ge
Bolin Ding
David A. Forsyth
Yue Liu
Basel Alomair
116
33
0
05 Jul 2023
Synthetic is all you need: removing the auxiliary data assumption for
  membership inference attacks against synthetic data
Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data
Florent Guépin
Matthieu Meeus
Ana-Maria Cretu
Yves-Alexandre de Montjoye
63
10
0
04 Jul 2023
Achilles' Heels: Vulnerable Record Identification in Synthetic Data
  Publishing
Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing
Matthieu Meeus
Florent Guépin
Ana-Maria Cretu
Yves-Alexandre de Montjoye
179
24
0
17 Jun 2023
Generating Private Synthetic Data with Genetic Algorithms
Generating Private Synthetic Data with Genetic Algorithms
Terrance Liu
Jin-Lin Tang
G. Vietri
Zhiwei Steven Wu
SyDa
82
18
0
05 Jun 2023
Membership Inference Attacks against Synthetic Data through Overfitting
  Detection
Membership Inference Attacks against Synthetic Data through Overfitting Detection
B. V. Breugel
Hao Sun
Zhaozhi Qian
M. Schaar
77
49
0
24 Feb 2023
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data
F. Houssiau
James Jordon
Samuel N. Cohen
Owen Daniel
Andrew Elliott
James Geddes
C. Mole
Camila Rangel Smith
Lukasz Szpruch
95
48
0
12 Nov 2022
TabDDPM: Modelling Tabular Data with Diffusion Models
TabDDPM: Modelling Tabular Data with Diffusion Models
Akim Kotelnikov
Dmitry Baranchuk
Ivan Rubachev
Artem Babenko
DiffM
126
269
0
30 Sep 2022
Private Synthetic Data for Multitask Learning and Marginal Queries
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
98
31
0
15 Sep 2022
Synthetic Data -- what, why and how?
Synthetic Data -- what, why and how?
James Jordon
Lukasz Szpruch
F. Houssiau
M. Bottarelli
Giovanni Cherubin
Carsten Maple
Samuel N. Cohen
Adrian Weller
96
120
0
06 May 2022
Benchmarking Differentially Private Synthetic Data Generation Algorithms
Benchmarking Differentially Private Synthetic Data Generation Algorithms
Yuchao Tao
Ryan McKenna
Michael Hay
Ashwin Machanavajjhala
G. Miklau
SyDa
105
87
0
16 Dec 2021
Membership Inference Attacks From First Principles
Membership Inference Attacks From First Principles
Nicholas Carlini
Steve Chien
Milad Nasr
Shuang Song
Andreas Terzis
Florian Tramèr
MIACVMIALM
200
713
0
07 Dec 2021
Winning the NIST Contest: A scalable and general approach to
  differentially private synthetic data
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data
Ryan McKenna
G. Miklau
Daniel Sheldon
SyDa
87
127
0
11 Aug 2021
Differentially Private Query Release Through Adaptive Projection
Differentially Private Query Release Through Adaptive Projection
Sergul Aydore
William Brown
Michael Kearns
K. Kenthapadi
Luca Melis
Aaron Roth
Ankit Siva
105
68
0
11 Mar 2021
Synthetic Data -- Anonymisation Groundhog Day
Synthetic Data -- Anonymisation Groundhog Day
Theresa Stadler
Bristena Oprisanu
Carmela Troncoso
93
161
0
13 Nov 2020
DP-CGAN: Differentially Private Synthetic Data and Label Generation
DP-CGAN: Differentially Private Synthetic Data and Label Generation
Reihaneh Torkzadehmahani
Peter Kairouz
B. Paten
SyDa
79
239
0
27 Jan 2020
Reconstruction and Membership Inference Attacks against Generative
  Models
Reconstruction and Membership Inference Attacks against Generative Models
Benjamin Hilprecht
Martin Härterich
Daniel Bernau
AAMLMIACV
95
192
0
07 Jun 2019
Block Neural Autoregressive Flow
Block Neural Autoregressive Flow
Nicola De Cao
Ivan Titov
Wilker Aziz
DRL
89
125
0
09 Apr 2019
Differentially Private Generative Adversarial Network
Differentially Private Generative Adversarial Network
Liyang Xie
Kaixiang Lin
Shu Wang
Fei Wang
Jiayu Zhou
SyDa
107
503
0
19 Feb 2018
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLRMIALMMIACV
349
4,177
0
18 Oct 2016
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label
  Classification
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
André F. T. Martins
Ramón Fernández Astudillo
263
726
0
05 Feb 2016
A note on the evaluation of generative models
A note on the evaluation of generative models
Lucas Theis
Aaron van den Oord
Matthias Bethge
EGVM
240
1,147
0
05 Nov 2015
On Wasserstein Two Sample Testing and Related Families of Nonparametric
  Tests
On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests
Aaditya Ramdas
Nicolas García Trillos
Marco Cuturi
87
488
0
08 Sep 2015
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