| 623 |
Entity Resolution: Theory, Practice & Open Challenges |
2012 |
VLDB |
0.00015483844 |
| 1,166 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00011731286 |
| 1,246 |
No Free Lunch in Data Privacy |
2011 |
SIGMOD |
0.00011346748 |
| 2,017 |
Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations |
2019 |
VLDB |
9.1758131e-05 |
| 2,090 |
Optimizing error of high-dimensional statistical queries under differential privacy |
2018 |
VLDB |
9.0657103e-05 |
| 2,120 |
An Analysis of Structured Data on the Web |
2012 |
VLDB |
9.0098024e-05 |
| 2,298 |
Principled Evaluation of Differentially Private Algorithms using DPBench |
2016 |
SIGMOD |
8.6731734e-05 |
| 2,370 |
Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies |
2014 |
SIGMOD |
8.5616358e-05 |
| 2,488 |
Computing Local Sensitivities of Counting Queries with Joins |
2020 |
SIGMOD |
8.3973087e-05 |
| 2,867 |
CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers |
2020 |
SIGMOD |
7.9248931e-05 |
| 3,260 |
P-Ring: An Efficient and Robust P2P Range Index Structure |
2007 |
SIGMOD |
7.4842462e-05 |
| 3,883 |
Personalized Social Recommendations - Accurate or Private? |
2011 |
VLDB |
6.9485406e-05 |
| 3,938 |
DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems |
2015 |
VLDB |
6.9153613e-05 |
| 4,240 |
On the Efficiency of Checking Perfect Privacy |
2006 |
PODS |
6.7094069e-05 |
| 4,412 |
ϵktelo: A Framework for Defining Differentially-Private Computations |
2018 |
SIGMOD |
6.6112155e-05 |
| 4,496 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
6.5764614e-05 |
| 4,999 |
Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics |
2017 |
SIGMOD |
6.3205439e-05 |
| 5,052 |
IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy |
2022 |
SIGMOD |
6.2958492e-05 |
| 5,134 |
Exploring Privacy-Accuracy Tradeoffs using DPComp |
2016 |
SIGMOD |
6.2591185e-05 |
| 5,146 |
A Rigorous and Customizable Framework for Privacy |
2012 |
PODS |
6.2558307e-05 |
| 5,184 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
6.2392459e-05 |
| 5,655 |
Scalable Ranked Publish/Subscribe |
2008 |
VLDB |
6.0501178e-05 |
| 5,686 |
Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges |
2017 |
SIGMOD |
6.0368403e-05 |
| 6,307 |
Longshot: Indexing Growing Databases using MPC and Differential Privacy |
2023 |
VLDB |
5.8178079e-05 |
| 6,498 |
Differential Privacy in the Wild: A tutorial on current practices & open challenges |
2016 |
VLDB |
5.7650744e-05 |
| 6,522 |
PreFair: Privately Generating Justifiably Fair Synthetic Data |
2023 |
VLDB |
5.7569675e-05 |
| 6,896 |
Synthesizing Linked Data Under Cardinality and Integrity Constraints |
2021 |
SIGMOD |
5.6532847e-05 |
| 7,063 |
IoT-Detective: Analyzing IoT Data Under Differential Privacy |
2018 |
SIGMOD |
5.6100004e-05 |
| 7,295 |
Architecting a Differentially Private SQL Engine |
2019 |
CIDR |
5.5626111e-05 |
| 7,326 |
WOO: A Scalable and Multi-tenant Platform for Continuous Knowledge Base Synthesis |
2013 |
VLDB |
5.5513502e-05 |
| 7,501 |
Pythia: Data Dependent Differentially Private Algorithm Selection |
2017 |
SIGMOD |
5.5077101e-05 |
| 7,783 |
Scalable Social Coordination with Group Constraints using Enmeshed Queries |
2013 |
CIDR |
5.4532421e-05 |
| 7,793 |
Budget Sharing for Multi-Analyst Differential Privacy |
2021 |
VLDB |
5.4516368e-05 |
| 8,092 |
PSynDB: Accurate and Accessible Private Data Generation |
2019 |
VLDB |
5.3942942e-05 |
| 8,422 |
Privately Answering Queries on Skewed Data via Per-Record Differential Privacy |
2024 |
VLDB |
5.3350162e-05 |
| 8,478 |
DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy |
2021 |
SIGMOD |
5.3332727e-05 |
| 8,592 |
Differentially Private Hierarchical Count-of-Counts Histograms |
2018 |
VLDB |
5.3069959e-05 |
| 8,708 |
SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries |
2013 |
VLDB |
5.2905577e-05 |
| 8,881 |
DPXPlain: Privately Explaining Aggregate Query Answers |
2023 |
VLDB |
5.2567693e-05 |
| 8,942 |
Data Publishing against Realistic Adversaries |
2009 |
VLDB |
5.2546575e-05 |
| 9,779 |
Multi-Analyst Differential Privacy for Online Query Answering |
2023 |
VLDB |
5.1309523e-05 |
| 11,667 |
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms |
2024 |
VLDB |
4.9793485e-05 |
| 11,790 |
Explaining Differentially Private Query Results With DPXPlain |
2023 |
VLDB |
4.9793485e-05 |
| 11,989 |
Practical Security and Privacy for Database Systems |
2021 |
SIGMOD |
4.9793485e-05 |
| 12,359 |
A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories |
2016 |
VLDB |
4.9793485e-05 |
| 12,372 |
Design of Policy-Aware Differentially Private Algorithms |
2016 |
VLDB |
4.9793485e-05 |
| 13,063 |
An Indexing Framework for Peer-to-Peer Systems |
2004 |
SIGMOD |
4.9793485e-05 |
| 13,845 |
DIAS: Differentially Private Interactive Algorithm Selection using Pythia |
2017 |
SIGMOD |
- |