| 621 |
Entity Resolution: Theory, Practice & Open Challenges |
2012 |
VLDB |
32 |
0.00015460277 |
| 1,170 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
53 |
0.00011687052 |
| 1,256 |
No Free Lunch in Data Privacy |
2011 |
SIGMOD |
26 |
0.00011304781 |
| 2,032 |
Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations |
2019 |
VLDB |
24 |
9.1412376e-05 |
| 2,099 |
Optimizing error of high-dimensional statistical queries under differential privacy |
2018 |
VLDB |
29 |
9.0315525e-05 |
| 2,135 |
An Analysis of Structured Data on the Web |
2012 |
VLDB |
10 |
8.9793548e-05 |
| 2,315 |
Principled Evaluation of Differentially Private Algorithms using DPBench |
2016 |
SIGMOD |
21 |
8.6412356e-05 |
| 2,383 |
Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies |
2014 |
SIGMOD |
17 |
8.5292865e-05 |
| 2,497 |
Computing Local Sensitivities of Counting Queries with Joins |
2020 |
SIGMOD |
24 |
8.365674e-05 |
| 2,877 |
CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers |
2020 |
SIGMOD |
14 |
7.8955405e-05 |
| 3,274 |
P-Ring: An Efficient and Robust P2P Range Index Structure |
2007 |
SIGMOD |
8 |
7.4559863e-05 |
| 3,895 |
Personalized Social Recommendations - Accurate or Private? |
2011 |
VLDB |
7 |
6.9223264e-05 |
| 3,948 |
DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems |
2015 |
VLDB |
11 |
6.889232e-05 |
| 4,257 |
On the Efficiency of Checking Perfect Privacy |
2006 |
PODS |
5 |
6.6841081e-05 |
| 4,434 |
ϵktelo: A Framework for Defining Differentially-Private Computations |
2018 |
SIGMOD |
11 |
6.5862354e-05 |
| 4,518 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
28 |
6.551704e-05 |
| 5,025 |
Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics |
2017 |
SIGMOD |
10 |
6.2966621e-05 |
| 5,076 |
IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy |
2022 |
SIGMOD |
7 |
6.2720607e-05 |
| 5,159 |
Exploring Privacy-Accuracy Tradeoffs using DPComp |
2016 |
SIGMOD |
4 |
6.2354688e-05 |
| 5,171 |
A Rigorous and Customizable Framework for Privacy |
2012 |
PODS |
6 |
6.2321934e-05 |
| 5,207 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
15 |
6.2156712e-05 |
| 5,668 |
Scalable Ranked Publish/Subscribe |
2008 |
VLDB |
6 |
6.0272577e-05 |
| 5,698 |
Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges |
2017 |
SIGMOD |
4 |
6.0140309e-05 |
| 6,323 |
Longshot: Indexing Growing Databases using MPC and Differential Privacy |
2023 |
VLDB |
6 |
5.7958256e-05 |
| 6,516 |
Differential Privacy in the Wild: A tutorial on current practices & open challenges |
2016 |
VLDB |
2 |
5.7432938e-05 |
| 6,538 |
PreFair: Privately Generating Justifiably Fair Synthetic Data |
2023 |
VLDB |
5 |
5.7352151e-05 |
| 6,916 |
Synthesizing Linked Data Under Cardinality and Integrity Constraints |
2021 |
SIGMOD |
3 |
5.6320169e-05 |
| 7,084 |
IoT-Detective: Analyzing IoT Data Under Differential Privacy |
2018 |
SIGMOD |
3 |
5.5888034e-05 |
| 7,315 |
Architecting a Differentially Private SQL Engine |
2019 |
CIDR |
4 |
5.5415931e-05 |
| 7,345 |
WOO: A Scalable and Multi-tenant Platform for Continuous Knowledge Base Synthesis |
2013 |
VLDB |
2 |
5.5318758e-05 |
| 7,524 |
Pythia: Data Dependent Differentially Private Algorithm Selection |
2017 |
SIGMOD |
5 |
5.4868995e-05 |
| 7,806 |
Scalable Social Coordination with Group Constraints using Enmeshed Queries |
2013 |
CIDR |
1 |
5.4326408e-05 |
| 7,815 |
Budget Sharing for Multi-Analyst Differential Privacy |
2021 |
VLDB |
3 |
5.4310381e-05 |
| 8,117 |
PSynDB: Accurate and Accessible Private Data Generation |
2019 |
VLDB |
3 |
5.3739121e-05 |
| 8,447 |
Privately Answering Queries on Skewed Data via Per-Record Differential Privacy |
2024 |
VLDB |
1 |
5.3148581e-05 |
| 8,500 |
DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy |
2021 |
SIGMOD |
5 |
5.3131213e-05 |
| 8,617 |
Differentially Private Hierarchical Count-of-Counts Histograms |
2018 |
VLDB |
2 |
5.28722e-05 |
| 8,736 |
SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries |
2013 |
VLDB |
1 |
5.2705676e-05 |
| 8,910 |
DPXPlain: Privately Explaining Aggregate Query Answers |
2023 |
VLDB |
9 |
5.2369069e-05 |
| 8,971 |
Data Publishing against Realistic Adversaries |
2009 |
VLDB |
2 |
5.2348031e-05 |
| 9,816 |
Multi-Analyst Differential Privacy for Online Query Answering |
2023 |
VLDB |
1 |
5.1115653e-05 |
| 11,719 |
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms |
2024 |
VLDB |
1 |
4.9605343e-05 |
| 11,840 |
Explaining Differentially Private Query Results With DPXPlain |
2023 |
VLDB |
0 |
4.9605343e-05 |
| 12,039 |
Practical Security and Privacy for Database Systems |
2021 |
SIGMOD |
0 |
4.9605343e-05 |
| 12,408 |
A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories |
2016 |
VLDB |
0 |
4.9605343e-05 |
| 12,421 |
Design of Policy-Aware Differentially Private Algorithms |
2016 |
VLDB |
4 |
4.9605343e-05 |
| 13,110 |
An Indexing Framework for Peer-to-Peer Systems |
2004 |
SIGMOD |
1 |
4.9605343e-05 |
| 13,890 |
DIAS: Differentially Private Interactive Algorithm Selection using Pythia |
2017 |
SIGMOD |
0 |
- |