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Benchmarking Differentially Private Synthetic Data Generation Algorithms
v1v2 (latest)

Benchmarking Differentially Private Synthetic Data Generation Algorithms

16 December 2021
Yuchao Tao
Ryan McKenna
Michael Hay
Ashwin Machanavajjhala
G. Miklau
    SyDa
ArXiv (abs)PDFHTML

Papers citing "Benchmarking Differentially Private Synthetic Data Generation Algorithms"

24 / 74 papers shown
Data-centric Artificial Intelligence: A Survey
Data-centric Artificial Intelligence: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Daochen Zha
Zaid Pervaiz Bhat
Kwei-Herng Lai
Fan Yang
Zhimeng Jiang
Shaochen Zhong
Helen Zhou
442
326
0
17 Mar 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential
  Privacy
How to DP-fy ML: A Practical Guide to Machine Learning with Differential PrivacyJournal of Artificial Intelligence Research (JAIR), 2023
Natalia Ponomareva
Hussein Hazimeh
Alexey Kurakin
Zheng Xu
Carson E. Denison
H. B. McMahan
Sergei Vassilvitskii
Steve Chien
Abhradeep Thakurta
499
235
0
01 Mar 2023
Pushing the Boundaries of Private, Large-Scale Query Answering
Pushing the Boundaries of Private, Large-Scale Query Answering
Brendan Avent
Aleksandra Korolova
180
0
0
09 Feb 2023
Private GANs, Revisited
Private GANs, Revisited
Alex Bie
Gautam Kamath
Guojun Zhang
274
19
0
06 Feb 2023
A Linear Reconstruction Approach for Attribute Inference Attacks against
  Synthetic Data
A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic DataUSENIX Security Symposium (USENIX Security), 2023
Meenatchi Sundaram Muthu Selva Annamalai
Andrea Gadotti
Luc Rocher
MIACV
259
31
0
24 Jan 2023
PreFair: Privately Generating Justifiably Fair Synthetic Data
PreFair: Privately Generating Justifiably Fair Synthetic DataProceedings of the VLDB Endowment (PVLDB), 2022
David Pujol
Amir Gilad
Ashwin Machanavajjhala
239
11
0
20 Dec 2022
On the Utility Recovery Incapability of Neural Net-based Differential
  Private Tabular Training Data Synthesizer under Privacy Deregulation
On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation
Yucong Liu
ChiHua Wang
Guang Cheng
232
8
0
28 Nov 2022
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially
  Private Data Exploration
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data ExplorationProceedings of the VLDB Endowment (PVLDB), 2022
Miti Mazmudar
Thomas Humphries
Jiaxiang Liu
Matthew Rafuse
Xi He
105
12
0
28 Nov 2022
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML
  Evaluation
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML EvaluationNeural Information Processing Systems (NeurIPS), 2022
Sérgio Jesus
José P. Pombal
Duarte M. Alves
André F. Cruz
Pedro Saleiro
Rita P. Ribeiro
João Gama
P. Bizarro
231
44
0
24 Nov 2022
Provable Membership Inference Privacy
Provable Membership Inference Privacy
Zachary Izzo
Chang Jo Kim
Sercan O. Arik
James Zou
192
6
0
12 Nov 2022
Lessons Learned: Surveying the Practicality of Differential Privacy in
  the Industry
Lessons Learned: Surveying the Practicality of Differential Privacy in the IndustryProceedings on Privacy Enhancing Technologies (PoPETs), 2022
Gonzalo Munilla Garrido
Xiaoyuan Liu
Florian Matthes
Basel Alomair
191
31
0
07 Nov 2022
Synthetic Text Generation with Differential Privacy: A Simple and
  Practical Recipe
Synthetic Text Generation with Differential Privacy: A Simple and Practical RecipeAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Xiang Yue
Huseyin A. Inan
Xuechen Li
Girish Kumar
Julia McAnallen
Hoda Shajari
Huan Sun
David Levitan
Robert Sim
330
114
0
25 Oct 2022
Private Synthetic Data for Multitask Learning and Marginal Queries
Private Synthetic Data for Multitask Learning and Marginal QueriesNeural Information Processing Systems (NeurIPS), 2022
G. Vietri
Cédric Archambeau
Sergul Aydore
William Brown
Michael Kearns
Aaron Roth
Ankit Siva
Shuai Tang
Zhiwei Steven Wu
SyDa
251
35
0
15 Sep 2022
DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving
  Visualizations via Differential Privacy
DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential PrivacyIEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
Jiehui Zhou
Xumeng Wang
Jason K. Wong
Huan Wang
Zhong-hua Wang
...
Xiaoran Yan
Hao Feng
Huamin Qu
Haochao Ying
Wei Chen
122
15
0
29 Aug 2022
Epistemic Parity: Reproducibility as an Evaluation Metric for
  Differential Privacy
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential PrivacyProceedings of the VLDB Endowment (PVLDB), 2022
Lucas Rosenblatt
Bernease Herman
Anastasia Holovenko
Wonkwon Lee
Joshua R. Loftus
Elizabeth McKinnie
Taras Rumezhak
Andrii Stadnik
Bill Howe
Julia Stoyanovich
202
8
0
26 Aug 2022
dpart: Differentially Private Autoregressive Tabular, a General
  Framework for Synthetic Data Generation
dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation
Sofiane Mahiou
Kai Xu
Georgi Ganev
SyDa
133
13
0
12 Jul 2022
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal
  GAN
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN
R. V. Bergen
Jean-Francois Rajotte
F. Yousefirizi
Arman Rahmim
R. Ng
MedIm
137
1
0
13 Jun 2022
Noise-Aware Statistical Inference with Differentially Private Synthetic
  Data
Noise-Aware Statistical Inference with Differentially Private Synthetic DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Ossi Raisa
Hibiki Ito
Samuel Kaski
Antti Honkela
SyDa
285
14
0
28 May 2022
MC-GEN:Multi-level Clustering for Private Synthetic Data Generation
MC-GEN:Multi-level Clustering for Private Synthetic Data GenerationKnowledge-Based Systems (KBS), 2022
Mingchen Li
Di Zhuang
Jerome Chang
SyDa
170
7
0
28 May 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
253
164
0
06 May 2022
Spending Privacy Budget Fairly and Wisely
Spending Privacy Budget Fairly and Wisely
Lucas Rosenblatt
Joshua Allen
Julia Stoyanovich
193
5
0
27 Apr 2022
Detecting Anomalous LAN Activities under Differential Privacy
Detecting Anomalous LAN Activities under Differential PrivacySecurity and Communication Networks (SCN), 2022
Norrathep Rattanavipanon
Donlapark Ponnoprat
H. Ochiai
Kuljaree Tantayakul
T. Angchuan
S. Kamolphiwong
72
0
0
14 Apr 2022
Decouple-and-Sample: Protecting sensitive information in task agnostic
  data release
Decouple-and-Sample: Protecting sensitive information in task agnostic data releaseEuropean Conference on Computer Vision (ECCV), 2022
Abhishek Singh
Ethan Garza
Ayush Chopra
Praneeth Vepakomma
Vivek Sharma
Ramesh Raskar
180
8
0
17 Mar 2022
Generating Synthetic Mixed-type Longitudinal Electronic Health Records
  for Artificial Intelligent Applications
Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications
Jin Li
B. Cairns
Jingsong Li
T. Zhu
SyDa
287
103
0
22 Dec 2021
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