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TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

12 November 2022
F. Houssiau
James Jordon
Samuel N. Cohen
Owen Daniel
Andrew Elliott
James Geddes
C. Mole
Camila Rangel Smith
Lukasz Szpruch
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Papers citing "TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data"

30 / 30 papers shown
Title
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
134
0
0
02 May 2025
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics
Yifeng Mao
Bozhidar Stevanoski
Yves-Alexandre de Montjoye
47
0
0
25 Apr 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
24
2
0
09 Apr 2025
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead
Viktor Schlegel
Anil A Bharath
Zilong Zhao
Kevin Yee
68
0
0
26 Mar 2025
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
Matthieu Meeus
Lukas Wutschitz
Santiago Zanella Béguelin
Shruti Tople
Reza Shokri
80
0
0
24 Feb 2025
Synthetic Data Privacy Metrics
Synthetic Data Privacy Metrics
Amy Steier
Lipika Ramaswamy
Andre Manoel
Alexa Haushalter
43
0
0
08 Jan 2025
Privacy Vulnerabilities in Marginals-based Synthetic Data
Privacy Vulnerabilities in Marginals-based Synthetic Data
Steven Golob
Sikha Pentyala
Anuar Maratkhan
Martine De Cock
26
3
0
07 Oct 2024
NetDPSyn: Synthesizing Network Traces under Differential Privacy
NetDPSyn: Synthesizing Network Traces under Differential Privacy
Danyu Sun
Joann Qiongna Chen
Chen Gong
Tianhao Wang
Zhou Li
52
1
0
08 Sep 2024
Synthetic Data, Similarity-based Privacy Metrics, and Regulatory
  (Non-)Compliance
Synthetic Data, Similarity-based Privacy Metrics, and Regulatory (Non-)Compliance
Georgi Ganev
32
0
0
24 Jul 2024
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate
  Location Data
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data
Vincent Guan
Florent Guépin
Ana-Maria Cretu
Yves-Alexandre de Montjoye
26
3
0
26 Jun 2024
Automated Privacy-Preserving Techniques via Meta-Learning
Automated Privacy-Preserving Techniques via Meta-Learning
Tânia Carvalho
Nuno Moniz
Luís Antunes
49
0
0
24 Jun 2024
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic
  Data
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data
Yu Xia
Chi-Hua Wang
Joshua Mabry
Guang Cheng
ELM
34
4
0
19 Jun 2024
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying
  in Tabular Generative Models
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models
Joshua Ward
Chi-Hua Wang
Guang Cheng
36
3
0
18 Jun 2024
Synthetic Data Outliers: Navigating Identity Disclosure
Synthetic Data Outliers: Navigating Identity Disclosure
Carolina Trindade
Luís Antunes
Tânia Carvalho
Nuno Moniz
30
3
0
04 Jun 2024
Lost in the Averages: A New Specific Setup to Evaluate Membership
  Inference Attacks Against Machine Learning Models
Lost in the Averages: A New Specific Setup to Evaluate Membership Inference Attacks Against Machine Learning Models
Florent Guépin
Natasa Krco
Matthieu Meeus
Yves-Alexandre de Montjoye
31
1
0
24 May 2024
"What do you want from theory alone?" Experimenting with Tight Auditing
  of Differentially Private Synthetic Data Generation
"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation
Meenatchi Sundaram Muthu Selva Annamalai
Georgi Ganev
Emiliano De Cristofaro
35
9
0
16 May 2024
VFLGAN: Vertical Federated Learning-based Generative Adversarial Network
  for Vertically Partitioned Data Publication
VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication
Xun Yuan
Yang Yang
P. Gope
A. Pasikhani
Biplab Sikdar
29
2
0
15 Apr 2024
Six Levels of Privacy: A Framework for Financial Synthetic Data
Six Levels of Privacy: A Framework for Financial Synthetic Data
T. Balch
Vamsi K. Potluru
Deepak Paramanand
Manuela Veloso
25
0
0
20 Mar 2024
Quantifying and Mitigating Privacy Risks for Tabular Generative Models
Quantifying and Mitigating Privacy Risks for Tabular Generative Models
Chaoyi Zhu
Jiayi Tang
Hans Brouwer
Juan F. Pérez
Marten van Dijk
Lydia Y. Chen
60
5
0
12 Mar 2024
High Epsilon Synthetic Data Vulnerabilities in MST and PrivBayes
High Epsilon Synthetic Data Vulnerabilities in MST and PrivBayes
Steven Golob
Sikha Pentyala
Anuar Maratkhan
Martine De Cock
11
1
0
09 Feb 2024
Privacy Measurement in Tabular Synthetic Data: State of the Art and
  Future Research Directions
Privacy Measurement in Tabular Synthetic Data: State of the Art and Future Research Directions
Alexander Boudewijn
Andrea Filippo Ferraris
D. Panfilo
Vanessa Cocca
Sabrina Zinutti
Karel De Schepper
Carlo Rossi Chauvenet
34
2
0
29 Nov 2023
FLAIM: AIM-based Synthetic Data Generation in the Federated Setting
FLAIM: AIM-based Synthetic Data Generation in the Federated Setting
Samuel Maddock
Graham Cormode
Carsten Maple
29
4
0
05 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
On the Challenges of Deploying Privacy-Preserving Synthetic Data in the
  Enterprise
On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise
L. Arthur
Jason W Costello
Jonathan Hardy
Will O'Brien
J. Rea
Gareth Rees
Georgi Ganev
19
2
0
09 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
21
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
52
23
0
17 Jun 2023
Investigating the Effect of Misalignment on Membership Privacy in the
  White-box Setting
Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting
Ana-Maria Cretu
Daniel Jones
Yves-Alexandre de Montjoye
Shruti Tople
AAML
19
4
0
08 Jun 2023
Auditing and Generating Synthetic Data with Controllable Trust
  Trade-offs
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs
Brian M. Belgodere
Pierre L. Dognin
Adam Ivankay
Igor Melnyk
Youssef Mroueh
...
Mattia Rigotti
Jerret Ross
Yair Schiff
Radhika Vedpathak
Richard A. Young
24
12
0
21 Apr 2023
A Linear Reconstruction Approach for Attribute Inference Attacks against
  Synthetic Data
A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data
Meenatchi Sundaram Muthu Selva Annamalai
Andrea Gadotti
Luc Rocher
MIACV
16
21
0
24 Jan 2023
A Framework for Auditable Synthetic Data Generation
A Framework for Auditable Synthetic Data Generation
F. Houssiau
Samuel N. Cohen
Lukasz Szpruch
Owen Daniel
Michaela G. Lawrence
R. Mitra
Henry Wilde
C. Mole
14
7
0
21 Nov 2022
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