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Privacy-Enhanced Database Synthesis for Benchmark Publishing (Technical Report)
v1v2 (latest)

Privacy-Enhanced Database Synthesis for Benchmark Publishing (Technical Report)

2 May 2024
Yongrui Zhong
Yunqing Ge
Jianbin Qin
Yongrui Zhong
Bo Tang
Yu-Xuan Qiu
Rui Mao
Ye Yuan
Makoto Onizuka
Chuan Xiao
ArXiv (abs)PDFHTML

Papers citing "Privacy-Enhanced Database Synthesis for Benchmark Publishing (Technical Report)"

22 / 22 papers shown
Title
Data Overvaluation Attack and Truthful Data Valuation in Federated Learning
Data Overvaluation Attack and Truthful Data Valuation in Federated Learning
Shuyuan Zheng
Sudong Cai
Chuan Xiao
Yang Cao
Jianbin Qin
Masatoshi Yoshikawa
Makoto Onizuka
TDIAAML
413
0
0
01 Feb 2025
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
193
11
0
20 Dec 2022
Secure Shapley Value for Cross-Silo Federated Learning (Technical
  Report)
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report)Proceedings of the VLDB Endowment (PVLDB), 2022
Shuyuan Zheng
Yang Cao
Masatoshi Yoshikawa
FedML
223
37
0
11 Sep 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
253
102
0
16 Dec 2021
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation
Yuxing Han
Ziniu Wu
Peizhi Wu
Rong Zhu
Jingyi Yang
...
A. Pfadler
Zhengping Qian
Jingren Zhou
Jiangneng Li
Tengjiao Wang
176
139
0
13 Sep 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 dataJournal of Privacy and Confidentiality (JPC), 2021
Ryan McKenna
G. Miklau
Daniel Sheldon
SyDa
202
141
0
11 Aug 2021
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis
  Challenges
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges
Ninghui Li
Zhikun Zhang
Tianhao Wang
251
19
0
24 Jun 2021
Differentially Private Query Release Through Adaptive Projection
Differentially Private Query Release Through Adaptive ProjectionInternational Conference on Machine Learning (ICML), 2021
Sergul Aydore
William Brown
Michael Kearns
K. Kenthapadi
Luca Melis
Aaron Roth
Ankit Siva
293
73
0
11 Mar 2021
Kamino: Constraint-Aware Differentially Private Data Synthesis
Kamino: Constraint-Aware Differentially Private Data SynthesisProceedings of the VLDB Endowment (PVLDB), 2020
Chang Ge
Shubhankar Mohapatra
Xi He
Ihab F. Ilyas
SyDa
287
51
0
31 Dec 2020
New Oracle-Efficient Algorithms for Private Synthetic Data Release
New Oracle-Efficient Algorithms for Private Synthetic Data ReleaseInternational Conference on Machine Learning (ICML), 2020
G. Vietri
Grace Tian
Mark Bun
Thomas Steinke
Zhiwei Steven Wu
SyDa
245
83
0
10 Jul 2020
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially
  Private Generators
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
Dingfan Chen
Tribhuvanesh Orekondy
Mario Fritz
SyDa
170
203
0
15 Jun 2020
NeuroCard: One Cardinality Estimator for All Tables
NeuroCard: One Cardinality Estimator for All Tables
Zongheng Yang
Amog Kamsetty
Sifei Luan
Eric Liang
Yan Duan
Xi Chen
Ion Stoica
131
121
0
15 Jun 2020
Computing Local Sensitivities of Counting Queries with Joins
Computing Local Sensitivities of Counting Queries with Joins
Yuchao Tao
Xi He
Ashwin Machanavajjhala
Sudeepa Roy
152
38
0
09 Apr 2020
Sum-product networks: A survey
Sum-product networks: A surveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
I. París
Raquel Sánchez-Cauce
F. Díez
TPM
152
49
0
02 Apr 2020
CryptoSPN: Privacy-preserving Sum-Product Network Inference
CryptoSPN: Privacy-preserving Sum-Product Network InferenceEuropean Conference on Artificial Intelligence (ECAI), 2020
Amos Treiber
Alejandro Molina
Christian Weinert
T. Schneider
Kristian Kersting
116
11
0
03 Feb 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
235
263
0
27 Jan 2020
G-PATE: Scalable Differentially Private Data Generator via Private
  Aggregation of Teacher Discriminators
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher DiscriminatorsNeural Information Processing Systems (NeurIPS), 2019
Yunhui Long
Wei Ping
Zhuolin Yang
B. Kailkhura
Aston Zhang
C.A. Gunter
Yue Liu
188
83
0
21 Jun 2019
Graphical-model based estimation and inference for differential privacy
Graphical-model based estimation and inference for differential privacy
Ryan McKenna
Daniel Sheldon
G. Miklau
149
159
0
26 Jan 2019
Model-based Pricing for Machine Learning in a Data Marketplace
Model-based Pricing for Machine Learning in a Data Marketplace
Lingjiao Chen
Paraschos Koutris
Arun Kumar
128
144
0
26 May 2018
Differentially Private Generative Adversarial Network
Differentially Private Generative Adversarial Network
Liyang Xie
Kaixiang Lin
Shu Wang
Fei Wang
Jiayu Zhou
SyDa
195
553
0
19 Feb 2018
Differentially Private $k$-Means Clustering
Differentially Private kkk-Means Clustering
D. Su
Jianneng Cao
Ninghui Li
E. Bertino
Hongxia Jin
135
159
0
22 Apr 2015
Sum-Product Networks: A New Deep Architecture
Sum-Product Networks: A New Deep ArchitectureIEEE International Conference on Computer Vision (ICCV), 2011
Hoifung Poon
Pedro M. Domingos
TPM
218
789
0
14 Feb 2012
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