| 623 |
Entity Resolution: Theory, Practice & Open Challenges |
2012 |
VLDB |
32 |
0.00015477107 |
| 1,168 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
53 |
0.00011725733 |
| 1,250 |
No Free Lunch in Data Privacy |
2011 |
SIGMOD |
26 |
0.00011341376 |
| 2,020 |
Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations |
2019 |
VLDB |
24 |
9.1714694e-05 |
| 2,091 |
Optimizing error of high-dimensional statistical queries under differential privacy |
2018 |
VLDB |
29 |
9.0614187e-05 |
| 2,122 |
An Analysis of Structured Data on the Web |
2012 |
VLDB |
10 |
9.0057027e-05 |
| 2,301 |
Principled Evaluation of Differentially Private Algorithms using DPBench |
2016 |
SIGMOD |
21 |
8.6690677e-05 |
| 2,371 |
Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies |
2014 |
SIGMOD |
17 |
8.5575829e-05 |
| 2,488 |
Computing Local Sensitivities of Counting Queries with Joins |
2020 |
SIGMOD |
24 |
8.3933335e-05 |
| 2,867 |
CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers |
2020 |
SIGMOD |
14 |
7.9211415e-05 |
| 3,261 |
P-Ring: An Efficient and Robust P2P Range Index Structure |
2007 |
SIGMOD |
8 |
7.4807048e-05 |
| 3,884 |
Personalized Social Recommendations - Accurate or Private? |
2011 |
VLDB |
7 |
6.9452513e-05 |
| 3,939 |
DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems |
2015 |
VLDB |
11 |
6.9120876e-05 |
| 4,241 |
On the Efficiency of Checking Perfect Privacy |
2006 |
PODS |
5 |
6.7062376e-05 |
| 4,414 |
ϵktelo: A Framework for Defining Differentially-Private Computations |
2018 |
SIGMOD |
11 |
6.6080858e-05 |
| 4,498 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
28 |
6.5733482e-05 |
| 5,003 |
Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics |
2017 |
SIGMOD |
10 |
6.3175519e-05 |
| 5,056 |
IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy |
2022 |
SIGMOD |
7 |
6.2928688e-05 |
| 5,137 |
Exploring Privacy-Accuracy Tradeoffs using DPComp |
2016 |
SIGMOD |
4 |
6.2561556e-05 |
| 5,148 |
A Rigorous and Customizable Framework for Privacy |
2012 |
PODS |
6 |
6.2528693e-05 |
| 5,185 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
15 |
6.2362923e-05 |
| 5,656 |
Scalable Ranked Publish/Subscribe |
2008 |
VLDB |
6 |
6.0472537e-05 |
| 5,687 |
Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges |
2017 |
SIGMOD |
4 |
6.0339826e-05 |
| 6,311 |
Longshot: Indexing Growing Databases using MPC and Differential Privacy |
2023 |
VLDB |
6 |
5.8150538e-05 |
| 6,501 |
Differential Privacy in the Wild: A tutorial on current practices & open challenges |
2016 |
VLDB |
2 |
5.7623453e-05 |
| 6,525 |
PreFair: Privately Generating Justifiably Fair Synthetic Data |
2023 |
VLDB |
5 |
5.7542422e-05 |
| 6,898 |
Synthesizing Linked Data Under Cardinality and Integrity Constraints |
2021 |
SIGMOD |
3 |
5.6506085e-05 |
| 7,065 |
IoT-Detective: Analyzing IoT Data Under Differential Privacy |
2018 |
SIGMOD |
3 |
5.6073447e-05 |
| 7,299 |
Architecting a Differentially Private SQL Engine |
2019 |
CIDR |
4 |
5.5599778e-05 |
| 7,328 |
WOO: A Scalable and Multi-tenant Platform for Continuous Knowledge Base Synthesis |
2013 |
VLDB |
2 |
5.5487234e-05 |
| 7,506 |
Pythia: Data Dependent Differentially Private Algorithm Selection |
2017 |
SIGMOD |
5 |
5.5051028e-05 |
| 7,791 |
Scalable Social Coordination with Group Constraints using Enmeshed Queries |
2013 |
CIDR |
1 |
5.4506612e-05 |
| 7,800 |
Budget Sharing for Multi-Analyst Differential Privacy |
2021 |
VLDB |
3 |
5.4490561e-05 |
| 8,099 |
PSynDB: Accurate and Accessible Private Data Generation |
2019 |
VLDB |
3 |
5.3917406e-05 |
| 8,431 |
Privately Answering Queries on Skewed Data via Per-Record Differential Privacy |
2024 |
VLDB |
1 |
5.3324907e-05 |
| 8,485 |
DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy |
2021 |
SIGMOD |
5 |
5.330748e-05 |
| 8,599 |
Differentially Private Hierarchical Count-of-Counts Histograms |
2018 |
VLDB |
2 |
5.3045399e-05 |
| 8,716 |
SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries |
2013 |
VLDB |
1 |
5.2880532e-05 |
| 8,890 |
DPXPlain: Privately Explaining Aggregate Query Answers |
2023 |
VLDB |
9 |
5.2542808e-05 |
| 8,950 |
Data Publishing against Realistic Adversaries |
2009 |
VLDB |
2 |
5.25217e-05 |
| 9,784 |
Multi-Analyst Differential Privacy for Online Query Answering |
2023 |
VLDB |
1 |
5.1285234e-05 |
| 11,673 |
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms |
2024 |
VLDB |
1 |
4.9769913e-05 |
| 11,796 |
Explaining Differentially Private Query Results With DPXPlain |
2023 |
VLDB |
0 |
4.9769913e-05 |
| 11,995 |
Practical Security and Privacy for Database Systems |
2021 |
SIGMOD |
0 |
4.9769913e-05 |
| 12,365 |
A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories |
2016 |
VLDB |
0 |
4.9769913e-05 |
| 12,378 |
Design of Policy-Aware Differentially Private Algorithms |
2016 |
VLDB |
4 |
4.9769913e-05 |
| 13,069 |
An Indexing Framework for Peer-to-Peer Systems |
2004 |
SIGMOD |
1 |
4.9769913e-05 |
| 13,850 |
DIAS: Differentially Private Interactive Algorithm Selection using Pythia |
2017 |
SIGMOD |
0 |
- |