| 1,740 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010696383 |
| 1,891 |
Towards Model-based Pricing for Machine Learning in a Data Marketplace |
2019 |
SIGMOD |
0.0001018452 |
| 2,556 |
Answering Multi-Dimensional Analytical Queries under Local Differential Privacy |
2019 |
SIGMOD |
8.5485513e-05 |
| 2,651 |
Shrinkwrap: Efficient SQL Query Processing in Differentially Private Data Federations |
2019 |
VLDB |
8.3680222e-05 |
| 2,889 |
Data Synthesis via Differentially Private Markov Random Fields |
2021 |
VLDB |
7.9589189e-05 |
| 3,332 |
AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data |
2022 |
VLDB |
7.2086982e-05 |
| 3,361 |
Answering Multi-Dimensional Range Queries under Local Differential Privacy |
2021 |
VLDB |
7.1718964e-05 |
| 5,264 |
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy |
2023 |
SIGMOD |
5.5951175e-05 |
| 6,067 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
5.2241487e-05 |
| 6,886 |
Synthesizing Linked Data Under Cardinality and Integrity Constraints |
2021 |
SIGMOD |
4.8904572e-05 |
| 6,969 |
Architecting a Differentially Private SQL Engine |
2019 |
CIDR |
4.8749348e-05 |
| 7,034 |
A Neural Database for Differentially Private Spatial Range Queries |
2022 |
VLDB |
4.8504321e-05 |
| 7,194 |
Longshot: Indexing Growing Databases using MPC and Differential Privacy |
2023 |
VLDB |
4.7990411e-05 |
| 7,471 |
A workload-adaptive mechanism for linear queries under local differential privacy |
2020 |
VLDB |
4.7158603e-05 |
| 7,501 |
PSynDB: Accurate and Accessible Private Data Generation |
2019 |
VLDB |
4.7135369e-05 |
| 7,620 |
Budget Sharing for Multi-Analyst Differential Privacy |
2021 |
VLDB |
4.6896122e-05 |
| 7,626 |
A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy |
2023 |
SIGMOD |
4.6886327e-05 |
| 8,000 |
Optimizing Fitness-For-Use of Differentially Private Linear Queries |
2021 |
VLDB |
4.6061476e-05 |
| 8,608 |
PreFair: Privately Generating Justifiably Fair Synthetic Data |
2023 |
VLDB |
4.4810982e-05 |
| 9,513 |
Answering Private Linear Queries Adaptively using the Common Mechanism |
2023 |
VLDB |
4.3294349e-05 |
| 9,514 |
Multi-Analyst Differential Privacy for Online Query Answering |
2023 |
VLDB |
4.3294349e-05 |
| 9,515 |
Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements |
2021 |
SIGMOD |
4.3294349e-05 |
| 9,592 |
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data |
2022 |
VLDB |
4.3161588e-05 |
| 9,768 |
DPXPlain: Privately Explaining Aggregate Query Answers |
2023 |
VLDB |
4.2815042e-05 |
| 10,053 |
Benchmarking Differentially Private Tabular Data Synthesis: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,522 |
Computing Inconsistency Measures Under Differential Privacy |
2025 |
SIGMOD |
4.1905499e-05 |
| 11,146 |
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms |
2024 |
VLDB |
4.1905499e-05 |
| 11,262 |
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy |
2023 |
VLDB |
4.1905499e-05 |