| 626 |
Entity Resolution: Theory, Practice & Open Challenges |
2012 |
VLDB |
0.00015656958 |
| 1,144 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00011999046 |
| 1,230 |
No Free Lunch in Data Privacy |
2011 |
SIGMOD |
0.00011572271 |
| 1,984 |
Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations |
2019 |
VLDB |
9.3540912e-05 |
| 2,096 |
An Analysis of Structured Data on the Web |
2012 |
VLDB |
9.1746663e-05 |
| 2,167 |
Optimizing error of high-dimensional statistical queries under differential privacy |
2018 |
VLDB |
9.047803e-05 |
| 2,300 |
Principled Evaluation of Differentially Private Algorithms using DPBench |
2016 |
SIGMOD |
8.7833594e-05 |
| 2,436 |
Computing Local Sensitivities of Counting Queries with Joins |
2020 |
SIGMOD |
8.5806427e-05 |
| 2,562 |
Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies |
2014 |
SIGMOD |
8.4127196e-05 |
| 2,818 |
CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers |
2020 |
SIGMOD |
8.0932359e-05 |
| 3,187 |
P-Ring: An Efficient and Robust P2P Range Index Structure |
2007 |
SIGMOD |
7.6555242e-05 |
| 3,810 |
Personalized Social Recommendations - Accurate or Private? |
2011 |
VLDB |
7.1068237e-05 |
| 3,871 |
DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems |
2015 |
VLDB |
7.0581665e-05 |
| 4,159 |
On the Efficiency of Checking Perfect Privacy |
2006 |
PODS |
6.8626218e-05 |
| 4,361 |
ϵktelo: A Framework for Defining Differentially-Private Computations |
2018 |
SIGMOD |
6.7443476e-05 |
| 4,394 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
6.7274063e-05 |
| 4,881 |
Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics |
2017 |
SIGMOD |
6.465615e-05 |
| 4,930 |
IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy |
2022 |
SIGMOD |
6.4402718e-05 |
| 5,008 |
Exploring Privacy-Accuracy Tradeoffs using DPComp |
2016 |
SIGMOD |
6.4027712e-05 |
| 5,027 |
A Rigorous and Customizable Framework for Privacy |
2012 |
PODS |
6.3969504e-05 |
| 5,055 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
6.3824509e-05 |
| 5,517 |
Scalable Ranked Publish/Subscribe |
2008 |
VLDB |
6.1889819e-05 |
| 5,613 |
Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges |
2017 |
SIGMOD |
6.1501263e-05 |
| 6,171 |
Longshot: Indexing Growing Databases using MPC and Differential Privacy |
2023 |
VLDB |
5.9513399e-05 |
| 6,370 |
Differential Privacy in the Wild: A tutorial on current practices & open challenges |
2016 |
VLDB |
5.8973335e-05 |
| 6,755 |
Synthesizing Linked Data Under Cardinality and Integrity Constraints |
2021 |
SIGMOD |
5.7830386e-05 |
| 6,922 |
IoT-Detective: Analyzing IoT Data Under Differential Privacy |
2018 |
SIGMOD |
5.7387625e-05 |
| 7,147 |
Architecting a Differentially Private SQL Engine |
2019 |
CIDR |
5.6902859e-05 |
| 7,204 |
WOO: A Scalable and Multi-tenant Platform for Continuous Knowledge Base Synthesis |
2013 |
VLDB |
5.6739087e-05 |
| 7,358 |
PreFair: Privately Generating Justifiably Fair Synthetic Data |
2023 |
VLDB |
5.6344213e-05 |
| 7,359 |
Pythia: Data Dependent Differentially Private Algorithm Selection |
2017 |
SIGMOD |
5.6341162e-05 |
| 7,639 |
Budget Sharing for Multi-Analyst Differential Privacy |
2021 |
VLDB |
5.5767645e-05 |
| 7,644 |
Scalable Social Coordination with Group Constraints using Enmeshed Queries |
2013 |
CIDR |
5.5763131e-05 |
| 7,924 |
PSynDB: Accurate and Accessible Private Data Generation |
2019 |
VLDB |
5.5181056e-05 |
| 8,253 |
Privately Answering Queries on Skewed Data via Per-Record Differential Privacy |
2024 |
VLDB |
5.4574671e-05 |
| 8,311 |
DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy |
2021 |
SIGMOD |
5.4556836e-05 |
| 8,426 |
Differentially Private Hierarchical Count-of-Counts Histograms |
2018 |
VLDB |
5.4265571e-05 |
| 8,540 |
SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries |
2013 |
VLDB |
5.4119882e-05 |
| 8,719 |
DPXPlain: Privately Explaining Aggregate Query Answers |
2023 |
VLDB |
5.3774243e-05 |
| 8,784 |
Data Publishing against Realistic Adversaries |
2009 |
VLDB |
5.3736002e-05 |
| 9,603 |
Multi-Analyst Differential Privacy for Online Query Answering |
2023 |
VLDB |
5.2487195e-05 |
| 11,349 |
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms |
2024 |
VLDB |
5.093636e-05 |
| 11,480 |
Explaining Differentially Private Query Results With DPXPlain |
2023 |
VLDB |
5.093636e-05 |
| 11,682 |
Practical Security and Privacy for Database Systems |
2021 |
SIGMOD |
5.093636e-05 |
| 12,066 |
A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories |
2016 |
VLDB |
5.093636e-05 |
| 12,079 |
Design of Policy-Aware Differentially Private Algorithms |
2016 |
VLDB |
5.093636e-05 |
| 12,773 |
An Indexing Framework for Peer-to-Peer Systems |
2004 |
SIGMOD |
5.093636e-05 |
| 13,532 |
DIAS: Differentially Private Interactive Algorithm Selection using Pythia |
2017 |
SIGMOD |
- |