| 1,520 |
PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions |
2016 |
SIGMOD |
0.00011535148 |
| 1,738 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010720057 |
| 2,226 |
Publishing Graph Degree Distribution with Node Differential Privacy |
2016 |
SIGMOD |
9.2421776e-05 |
| 2,227 |
Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies |
2014 |
SIGMOD |
9.2421238e-05 |
| 2,408 |
Estimating Numerical Distributions under Local Differential Privacy |
2020 |
SIGMOD |
8.8780076e-05 |
| 2,434 |
Optimizing error of high-dimensional statistical queries under differential privacy |
2018 |
VLDB |
8.8278955e-05 |
| 2,465 |
Principled Evaluation of Differentially Private Algorithms using DPBench |
2016 |
SIGMOD |
8.7518123e-05 |
| 2,555 |
Answering Multi-Dimensional Analytical Queries under Local Differential Privacy |
2019 |
SIGMOD |
8.5477878e-05 |
| 2,806 |
CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers |
2020 |
SIGMOD |
8.0911177e-05 |
| 3,368 |
Answering Multi-Dimensional Range Queries under Local Differential Privacy |
2021 |
VLDB |
7.1714763e-05 |
| 3,399 |
Answering Range Queries Under Local Differential Privacy |
2019 |
VLDB |
7.1408089e-05 |
| 4,502 |
ϵktelo: A Framework for Defining Differentially-Private Computations |
2018 |
SIGMOD |
6.1366984e-05 |
| 5,491 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
5.4776364e-05 |
| 5,545 |
Differential Privacy in the Wild: A tutorial on current practices & open challenges |
2016 |
VLDB |
5.4462098e-05 |
| 5,687 |
Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges |
2017 |
SIGMOD |
5.3706593e-05 |
| 7,034 |
A Neural Database for Differentially Private Spatial Range Queries |
2022 |
VLDB |
4.8550912e-05 |
| 7,064 |
Residual Sensitivity for Differentially Private Multi-Way Joins |
2021 |
SIGMOD |
4.8450749e-05 |
| 7,196 |
Longshot: Indexing Growing Databases using MPC and Differential Privacy |
2023 |
VLDB |
4.8036487e-05 |
| 7,313 |
Pythia: Data Dependent Differentially Private Algorithm Selection |
2017 |
SIGMOD |
4.7651627e-05 |
| 7,439 |
Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy |
2023 |
SIGMOD |
4.7304034e-05 |
| 7,579 |
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries |
2022 |
PODS |
4.706055e-05 |
| 7,619 |
Budget Sharing for Multi-Analyst Differential Privacy |
2021 |
VLDB |
4.6941145e-05 |
| 7,997 |
Optimizing Fitness-For-Use of Differentially Private Linear Queries |
2021 |
VLDB |
4.6105691e-05 |
| 8,120 |
Doquet: Differentially Oblivious Range and Join Queries with Private Data Structures |
2023 |
VLDB |
4.5809563e-05 |
| 8,418 |
Differentially Private Hierarchical Count-of-Counts Histograms |
2018 |
VLDB |
4.5183077e-05 |
| 8,673 |
CoopStore: Optimizing Precomputed Summaries for Aggregation |
2020 |
VLDB |
4.4709116e-05 |
| 8,837 |
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration |
2023 |
VLDB |
4.4393184e-05 |
| 9,285 |
PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy |
2024 |
VLDB |
4.3623546e-05 |
| 9,513 |
Multi-Analyst Differential Privacy for Online Query Answering |
2023 |
VLDB |
4.3335882e-05 |
| 9,796 |
DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries |
2023 |
SIGMOD |
4.2818172e-05 |
| 10,015 |
Differentially Private Explanations for Clusters |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,094 |
N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,153 |
Defense against Poisoning Attacks under Shuffle-DP |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,354 |
Private Synthetic Data Generation in Bounded Memory |
2025 |
PODS |
4.1945683e-05 |
| 10,521 |
RM2: Answer Counting Queries Efficiently under Shuffle Differential Privacy |
2025 |
SIGMOD |
4.1945683e-05 |
| 11,514 |
ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee |
2021 |
VLDB |
4.1945683e-05 |