| 1,738 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010720057 |
| 1,891 |
Towards Model-based Pricing for Machine Learning in a Data Marketplace |
2019 |
SIGMOD |
0.00010194092 |
| 2,555 |
Answering Multi-Dimensional Analytical Queries under Local Differential Privacy |
2019 |
SIGMOD |
8.5477878e-05 |
| 2,673 |
Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations |
2019 |
VLDB |
8.3333418e-05 |
| 2,881 |
Data Synthesis via Differentially Private Markov Random Fields |
2021 |
VLDB |
7.9665978e-05 |
| 3,329 |
AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data |
2022 |
VLDB |
7.2156424e-05 |
| 3,368 |
Answering Multi-Dimensional Range Queries under Local Differential Privacy |
2021 |
VLDB |
7.1714763e-05 |
| 5,349 |
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy |
2023 |
SIGMOD |
5.553869e-05 |
| 6,065 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
5.2291685e-05 |
| 6,887 |
Synthesizing Linked Data Under Cardinality and Integrity Constraints |
2021 |
SIGMOD |
4.8937852e-05 |
| 6,970 |
Architecting a Differentially Private SQL Engine |
2019 |
CIDR |
4.8796169e-05 |
| 7,034 |
A Neural Database for Differentially Private Spatial Range Queries |
2022 |
VLDB |
4.8550912e-05 |
| 7,196 |
Longshot: Indexing Growing Databases using MPC and Differential Privacy |
2023 |
VLDB |
4.8036487e-05 |
| 7,471 |
A workload-adaptive mechanism for linear queries under local differential privacy |
2020 |
VLDB |
4.7199888e-05 |
| 7,502 |
PSynDB: Accurate and Accessible Private Data Generation |
2019 |
VLDB |
4.7180617e-05 |
| 7,619 |
Budget Sharing for Multi-Analyst Differential Privacy |
2021 |
VLDB |
4.6941145e-05 |
| 7,624 |
A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy |
2023 |
SIGMOD |
4.6931334e-05 |
| 7,997 |
Optimizing Fitness-For-Use of Differentially Private Linear Queries |
2021 |
VLDB |
4.6105691e-05 |
| 8,609 |
PreFair: Privately Generating Justifiably Fair Synthetic Data |
2023 |
VLDB |
4.4853979e-05 |
| 9,512 |
Answering Private Linear Queries Adaptively using the Common Mechanism |
2023 |
VLDB |
4.3335882e-05 |
| 9,513 |
Multi-Analyst Differential Privacy for Online Query Answering |
2023 |
VLDB |
4.3335882e-05 |
| 9,514 |
Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements |
2021 |
SIGMOD |
4.3335882e-05 |
| 9,592 |
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data |
2022 |
VLDB |
4.3202988e-05 |
| 9,766 |
DPXPlain: Privately Explaining Aggregate Query Answers |
2023 |
VLDB |
4.2856106e-05 |
| 10,053 |
Benchmarking Differentially Private Tabular Data Synthesis: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,513 |
Computing Inconsistency Measures Under Differential Privacy |
2025 |
SIGMOD |
4.1945683e-05 |
| 11,143 |
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms |
2024 |
VLDB |
4.1945683e-05 |
| 11,260 |
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy |
2023 |
VLDB |
4.1945683e-05 |