| 178 |
Boosting the Accuracy of Differentially Private Histograms Through Consistency |
2010 |
VLDB |
0.00037726596 |
| 451 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022807098 |
| 872 |
Differentially Private Data Cubes: Optimizing Noise Sources and Consistency |
2011 |
SIGMOD |
0.00015702532 |
| 1,177 |
Recursive Mechanism: Towards Node Differential Privacy and Unrestricted Joins |
2013 |
SIGMOD |
0.00013465351 |
| 1,291 |
SMCQL: Secure Querying for Federated Databases |
2017 |
VLDB |
0.00012771034 |
| 1,607 |
Calibrating Data to Sensitivity in Private Data Analysis: A Platform for Differentially-Private Analysis of Weighted Datasets |
2014 |
VLDB |
0.00011171719 |
| 1,681 |
GUPT: Privacy Preserving Data Analysis Made Easy |
2012 |
SIGMOD |
0.00010922454 |
| 1,740 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010696383 |
| 1,770 |
On Arbitrage-free Pricing for General Data Queries |
2014 |
VLDB |
0.00010607788 |
| 1,928 |
A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy |
2014 |
VLDB |
0.00010062105 |
| 2,086 |
Differentially Private Event Sequences over Infinite Streams |
2014 |
VLDB |
9.574212e-05 |
| 2,224 |
Publishing Graph Degree Distribution with Node Differential Privacy |
2016 |
SIGMOD |
9.256869e-05 |
| 2,278 |
An Adaptive Mechanism for Accurate Query Answering under Differential Privacy |
2012 |
VLDB |
9.1254873e-05 |
| 2,436 |
Optimizing error of high-dimensional statistical queries under differential privacy |
2018 |
VLDB |
8.8217855e-05 |
| 2,461 |
Principled Evaluation of Differentially Private Algorithms using DPBench |
2016 |
SIGMOD |
8.7486072e-05 |
| 2,556 |
Answering Multi-Dimensional Analytical Queries under Local Differential Privacy |
2019 |
SIGMOD |
8.5485513e-05 |
| 2,651 |
Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations |
2019 |
VLDB |
8.3680222e-05 |
| 2,791 |
CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers |
2020 |
SIGMOD |
8.1198086e-05 |
| 2,929 |
WANalytics: Analytics for a Geo-Distributed Data-Intensive World |
2015 |
CIDR |
7.8792902e-05 |
| 3,083 |
Computing Local Sensitivities of Counting Queries with Joins |
2020 |
SIGMOD |
7.5985351e-05 |
| 3,103 |
Publishing Set-Valued Data via Differential Privacy |
2011 |
VLDB |
7.5578714e-05 |
| 3,438 |
LDP-IDS: Local Differential Privacy for Infinite Data Streams |
2022 |
SIGMOD |
7.0929695e-05 |
| 3,834 |
Kamino: Constraint-Aware Differentially Private Data Synthesis |
2021 |
VLDB |
6.713066e-05 |
| 3,912 |
DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems |
2015 |
VLDB |
6.6332886e-05 |
| 4,010 |
Adore: Differentially Oblivious Relational Database Operators |
2023 |
VLDB |
6.5355058e-05 |
| 4,038 |
Differential Privacy in Telco Big Data Platform |
2015 |
VLDB |
6.5067029e-05 |
| 4,248 |
DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing |
2014 |
VLDB |
6.3175826e-05 |
| 4,473 |
A Rigorous and Customizable Framework for Privacy |
2012 |
PODS |
6.1483804e-05 |
| 4,504 |
ϵktelo: A Framework for Defining Differentially-Private Computations |
2018 |
SIGMOD |
6.1307972e-05 |
| 4,664 |
PrivateClean: Data Cleaning and Differential Privacy |
2016 |
SIGMOD |
6.0058132e-05 |
| 5,264 |
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy |
2023 |
SIGMOD |
5.5951175e-05 |
| 5,430 |
SEMROD: Secure and Efficient MapReduce Over Hybrid Clouds |
2015 |
SIGMOD |
5.5105418e-05 |
| 5,499 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
5.4737427e-05 |
| 5,522 |
IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy |
2022 |
SIGMOD |
5.4654207e-05 |
| 5,784 |
Federated Matrix Factorization with Privacy Guarantee |
2022 |
VLDB |
5.3259797e-05 |
| 6,067 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
5.2241487e-05 |
| 6,231 |
Global and Local Differentially Private Release of Count-Weighted Graphs |
2023 |
SIGMOD |
5.1402278e-05 |
| 6,406 |
Publishing Attributed Social Graphs with Formal Privacy Guarantees |
2016 |
SIGMOD |
5.0704962e-05 |
| 6,692 |
Information Preservation in Statistical Privacy and Bayesian Estimation of Unattributed Histograms |
2013 |
SIGMOD |
4.9568011e-05 |
| 6,969 |
Architecting a Differentially Private SQL Engine |
2019 |
CIDR |
4.8749348e-05 |
| 7,041 |
A Demonstration of Sterling: A Privacy-Preserving Data Marketplace |
2018 |
VLDB |
4.8483221e-05 |
| 7,059 |
Residual Sensitivity for Differentially Private Multi-Way Joins |
2021 |
SIGMOD |
4.8404261e-05 |
| 7,306 |
Compliant Geo-distributed Query Processing |
2021 |
SIGMOD |
4.7626702e-05 |
| 7,416 |
DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance |
2023 |
SIGMOD |
4.7309698e-05 |
| 7,437 |
Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy |
2023 |
SIGMOD |
4.7258659e-05 |
| 7,441 |
Continual Observation of Joins under Differential Privacy |
2024 |
SIGMOD |
4.7251588e-05 |
| 7,485 |
Differentially Private Data Generation with Missing Data |
2024 |
VLDB |
4.7135369e-05 |
| 7,865 |
Differentially Private Data Release over Multiple Tables |
2023 |
PODS |
4.6282846e-05 |
| 7,946 |
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity |
2021 |
VLDB |
4.6089395e-05 |
| 8,837 |
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration |
2023 |
VLDB |
4.4350633e-05 |