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DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries
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DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries

Congcong Fu
Hui Li
Jian Lou
Jia Cui
ArXiv (abs)PDFHTML

Papers citing "DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries"

5 / 5 papers shown
Title
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report)
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report)
Shuyuan Zheng
Yang Cao
Masatoshi Yoshikawa
FedML
103
25
0
11 Sep 2022
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries
Wei Dong
K. Yi
59
23
0
12 May 2021
Computing Local Sensitivities of Counting Queries with Joins
Computing Local Sensitivities of Counting Queries with Joins
Yuchao Tao
Xi He
Ashwin Machanavajjhala
Sudeepa Roy
62
37
0
09 Apr 2020
Differentially Private SQL with Bounded User Contribution
Differentially Private SQL with Bounded User Contribution
Royce J. Wilson
Celia Yuxin Zhang
William K. C. Lam
Damien Desfontaines
Daniel Simmons-Marengo
Bryant Gipson
83
150
0
04 Sep 2019
Towards Practical Differential Privacy for SQL Queries
Towards Practical Differential Privacy for SQL Queries
Noah M. Johnson
Joseph P. Near
Basel Alomair
48
269
0
28 Jun 2017

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