| 143 |
Boosting the Accuracy of Differentially Private Histograms Through Consistency |
2010 |
VLDB |
0.00029814788 |
| 298 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022062013 |
| 776 |
Differentially Private Data Cubes: Optimizing Noise Sources and Consistency |
2011 |
SIGMOD |
0.00014147868 |
| 885 |
Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins |
2013 |
SIGMOD |
0.0001347813 |
| 1,247 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00011568561 |
| 1,255 |
Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets |
2014 |
VLDB |
0.00011549831 |
| 1,525 |
SMCQL: Secure Querying for Federated Databases |
2017 |
VLDB |
0.00010560316 |
| 1,581 |
A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy |
2014 |
VLDB |
0.00010361616 |
| 1,811 |
Publishing Graph Degree Distribution with Node Differential Privacy |
2016 |
SIGMOD |
9.7918983e-05 |
| 1,858 |
On Arbitrage-free Pricing for General Data Queries |
2014 |
VLDB |
9.6932724e-05 |
| 1,959 |
GUPT: Privacy Preserving Data Analysis Made Easy |
2012 |
SIGMOD |
9.4917497e-05 |
| 2,038 |
Differentially Private Event Sequences over Infinite Streams |
2014 |
VLDB |
9.3472084e-05 |
| 2,113 |
Optimizing error of high-dimensional statistical queries under differential privacy |
2018 |
VLDB |
9.2103836e-05 |
| 2,129 |
An Adaptive Mechanism for Accurate Query Answering under Differential Privacy |
2012 |
VLDB |
9.1832693e-05 |
| 2,148 |
Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations |
2019 |
VLDB |
9.1402771e-05 |
| 2,255 |
Answering Multi-Dimensional Analytical Queries under Local Differential Privacy |
2019 |
SIGMOD |
8.9311563e-05 |
| 2,261 |
Principled Evaluation of Differentially Private Algorithms using DPBench |
2016 |
SIGMOD |
8.9229053e-05 |
| 2,481 |
Computing Local Sensitivities of Counting Queries with Joins |
2020 |
SIGMOD |
8.6000811e-05 |
| 2,756 |
CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers |
2020 |
SIGMOD |
8.2250404e-05 |
| 2,856 |
Publishing Set-Valued Data via Differential Privacy |
2011 |
VLDB |
8.0965019e-05 |
| 3,141 |
LDP-IDS: Local Differential Privacy for Infinite Data Streams |
2022 |
SIGMOD |
7.7725716e-05 |
| 3,428 |
Kamino: Constraint-Aware Differentially Private Data Synthesis |
2021 |
VLDB |
7.499038e-05 |
| 3,453 |
WANalytics: Analytics for a Geo-Distributed Data-Intensive World |
2015 |
CIDR |
7.4746036e-05 |
| 3,801 |
DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems |
2015 |
VLDB |
7.1672789e-05 |
| 3,894 |
DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing |
2014 |
VLDB |
7.0984583e-05 |
| 3,987 |
Adore: Differentially Oblivious Relational Database Operators |
2023 |
VLDB |
7.0447891e-05 |
| 4,055 |
Differential Privacy in Telco Big Data Platform |
2015 |
VLDB |
6.9994795e-05 |
| 4,306 |
ϵktelo: A Framework for Defining Differentially-Private Computations |
2018 |
SIGMOD |
6.8412078e-05 |
| 4,791 |
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy |
2023 |
SIGMOD |
6.5734428e-05 |
| 4,793 |
PrivateClean: Data Cleaning and Differential Privacy |
2016 |
SIGMOD |
6.5720031e-05 |
| 4,815 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
6.5620315e-05 |
| 4,949 |
A Rigorous and Customizable Framework for Privacy |
2012 |
PODS |
6.4969657e-05 |
| 5,346 |
IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy |
2022 |
SIGMOD |
6.3243691e-05 |
| 5,519 |
Federated Matrix Factorization with Privacy Guarantee |
2022 |
VLDB |
6.2518182e-05 |
| 5,596 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
6.2218599e-05 |
| 6,024 |
Global and Local Differentially Private Release of Count-Weighted Graphs |
2023 |
SIGMOD |
6.064468e-05 |
| 6,197 |
Publishing Attributed Social Graphs with Formal Privacy Guarantees |
2016 |
SIGMOD |
6.0182847e-05 |
| 6,223 |
SEMROD: Secure and Efficient MapReduce Over Hybrid Clouds |
2015 |
SIGMOD |
6.011041e-05 |
| 6,610 |
Residual Sensitivity for Differentially Private Multi-Way Joins |
2021 |
SIGMOD |
5.8839413e-05 |
| 6,663 |
Information Preservation in Statistical Privacy and Bayesian Estimation of Unattributed Histograms |
2013 |
SIGMOD |
5.8690448e-05 |
| 7,047 |
Architecting a Differentially Private SQL Engine |
2019 |
CIDR |
5.7694717e-05 |
| 7,051 |
A Demonstration of Sterling: A Privacy-Preserving Data Marketplace |
2018 |
VLDB |
5.7688574e-05 |
| 7,134 |
Compliant Geo-distributed Query Processing |
2021 |
SIGMOD |
5.749141e-05 |
| 7,268 |
DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance |
2023 |
SIGMOD |
5.7128365e-05 |
| 7,474 |
Continual Observation of Joins under Differential Privacy |
2024 |
SIGMOD |
5.6713039e-05 |
| 7,513 |
Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy |
2023 |
SIGMOD |
5.6619883e-05 |
| 7,754 |
Differentially Private Data Release over Multiple Tables |
2023 |
PODS |
5.610225e-05 |
| 7,792 |
Differentially Private Data Generation with Missing Data |
2024 |
VLDB |
5.6035684e-05 |
| 8,127 |
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity |
2021 |
VLDB |
5.5419908e-05 |
| 8,718 |
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration |
2023 |
VLDB |
5.441927e-05 |