Computing Local Sensitivities of Counting Queries with Joins

9 April 2020

Papers citing "Computing Local Sensitivities of Counting Queries with Joins"

8 / 8 papers shown

Title
Privacy-Enhanced Database Synthesis for Benchmark Publishing (Technical Report) Yongrui Zhong Yunqing Ge Jianbin Qin Yongrui Zhong Bo Tang Yu-Xuan Qiu Rui Mao Ye Yuan Makoto Onizuka Chuan Xiao 114 1 0 02 May 2024
DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries Congcong Fu Hui Li Jian Lou Jia Cui 63 1 0 07 Oct 2023
Differentially Private Data Release over Multiple Tables Badih Ghazi Xiao Hu Ravi Kumar Pasin Manurangsi 56 5 0 27 Jun 2023
Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy Skye Berghel Philip Bohannon Damien Desfontaines Charles Estes Samuel Haney ... Tom Magerlein G. Miklau Amritha Pai William Sexton Ruchit Shrestha 64 21 0 08 Dec 2022
IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy Chenghong Wang Johes Bater Kartik Nayak Ashwin Machanavajjhala 71 20 0 09 Mar 2022
Universal Private Estimators Wei Dong K. Yi 87 20 0 04 Nov 2021
Privacy in Open Search: A Review of Challenges and Solutions Samuel Sousa Christian Guetl Roman Kern 67 3 0 20 Oct 2021
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries Wei Dong K. Yi 59 23 0 12 May 2021