| 178 |
Boosting the Accuracy of Differentially Private Histograms Through Consistency |
2010 |
VLDB |
0.00037697111 |
| 453 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022741848 |
| 878 |
Differentially Private Data Cubes: Optimizing Noise Sources and Consistency |
2011 |
SIGMOD |
0.00015702437 |
| 1,177 |
Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins |
2013 |
SIGMOD |
0.00013470212 |
| 1,307 |
SMCQL: Secure Querying for Federated Databases |
2017 |
VLDB |
0.0001266709 |
| 1,602 |
Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets |
2014 |
VLDB |
0.00011199166 |
| 1,681 |
GUPT: Privacy Preserving Data Analysis Made Easy |
2012 |
SIGMOD |
0.00010929746 |
| 1,738 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010720057 |
| 1,771 |
On Arbitrage-free Pricing for General Data Queries |
2014 |
VLDB |
0.00010617356 |
| 1,935 |
A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy |
2014 |
VLDB |
0.00010032967 |
| 2,082 |
Differentially Private Event Sequences over Infinite Streams |
2014 |
VLDB |
9.5834599e-05 |
| 2,226 |
Publishing Graph Degree Distribution with Node Differential Privacy |
2016 |
SIGMOD |
9.2421776e-05 |
| 2,274 |
An Adaptive Mechanism for Accurate Query Answering under Differential Privacy |
2012 |
VLDB |
9.1297703e-05 |
| 2,434 |
Optimizing error of high-dimensional statistical queries under differential privacy |
2018 |
VLDB |
8.8278955e-05 |
| 2,465 |
Principled Evaluation of Differentially Private Algorithms using DPBench |
2016 |
SIGMOD |
8.7518123e-05 |
| 2,555 |
Answering Multi-Dimensional Analytical Queries under Local Differential Privacy |
2019 |
SIGMOD |
8.5477878e-05 |
| 2,673 |
Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations |
2019 |
VLDB |
8.3333418e-05 |
| 2,806 |
CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers |
2020 |
SIGMOD |
8.0911177e-05 |
| 2,928 |
WANalytics: Analytics for a Geo-Distributed Data-Intensive World |
2015 |
CIDR |
7.8812874e-05 |
| 3,097 |
Publishing Set-Valued Data via Differential Privacy |
2011 |
VLDB |
7.5647028e-05 |
| 3,104 |
Computing Local Sensitivities of Counting Queries with Joins |
2020 |
SIGMOD |
7.5578613e-05 |
| 3,433 |
LDP-IDS: Local Differential Privacy for Infinite Data Streams |
2022 |
SIGMOD |
7.0998035e-05 |
| 3,831 |
Kamino: Constraint-Aware Differentially Private Data Synthesis |
2021 |
VLDB |
6.7181688e-05 |
| 3,907 |
DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems |
2015 |
VLDB |
6.6395929e-05 |
| 4,036 |
Adore: Differentially Oblivious Relational Database Operators |
2023 |
VLDB |
6.5089579e-05 |
| 4,039 |
Differential Privacy in Telco Big Data Platform |
2015 |
VLDB |
6.5075964e-05 |
| 4,252 |
DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing |
2014 |
VLDB |
6.3233894e-05 |
| 4,472 |
A Rigorous and Customizable Framework for Privacy |
2012 |
PODS |
6.1543113e-05 |
| 4,502 |
ϵktelo: A Framework for Defining Differentially-Private Computations |
2018 |
SIGMOD |
6.1366984e-05 |
| 4,668 |
PrivateClean: Data Cleaning and Differential Privacy |
2016 |
SIGMOD |
6.0115918e-05 |
| 5,349 |
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy |
2023 |
SIGMOD |
5.553869e-05 |
| 5,425 |
SEMROD: Secure and Efficient MapReduce Over Hybrid Clouds |
2015 |
SIGMOD |
5.5107787e-05 |
| 5,491 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
5.4776364e-05 |
| 5,519 |
IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy |
2022 |
SIGMOD |
5.4619886e-05 |
| 5,775 |
Federated Matrix Factorization with Privacy Guarantee |
2022 |
VLDB |
5.3310992e-05 |
| 5,885 |
Continual Observation of Joins under Differential Privacy |
2024 |
SIGMOD |
5.2880878e-05 |
| 6,065 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
5.2291685e-05 |
| 6,235 |
Global and Local Differentially Private Release of Count-Weighted Graphs |
2023 |
SIGMOD |
5.1451658e-05 |
| 6,410 |
Publishing Attributed Social Graphs with Formal Privacy Guarantees |
2016 |
SIGMOD |
5.0753667e-05 |
| 6,691 |
Information Preservation in Statistical Privacy and Bayesian Estimation of Unattributed Histograms |
2013 |
SIGMOD |
4.9613269e-05 |
| 6,970 |
Architecting a Differentially Private SQL Engine |
2019 |
CIDR |
4.8796169e-05 |
| 7,044 |
A Demonstration of Sterling: A Privacy-Preserving Data Marketplace |
2018 |
VLDB |
4.8529797e-05 |
| 7,064 |
Residual Sensitivity for Differentially Private Multi-Way Joins |
2021 |
SIGMOD |
4.8450749e-05 |
| 7,324 |
Compliant Geo-distributed Query Processing |
2021 |
SIGMOD |
4.762032e-05 |
| 7,417 |
DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance |
2023 |
SIGMOD |
4.7355114e-05 |
| 7,439 |
Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy |
2023 |
SIGMOD |
4.7304034e-05 |
| 7,485 |
Differentially Private Data Generation with Missing Data |
2024 |
VLDB |
4.7180617e-05 |
| 7,864 |
Differentially Private Data Release over Multiple Tables |
2023 |
PODS |
4.6327272e-05 |
| 7,943 |
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity |
2021 |
VLDB |
4.613363e-05 |
| 8,837 |
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration |
2023 |
VLDB |
4.4393184e-05 |