| 1,516 |
PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions |
2016 |
SIGMOD |
0.00011558246 |
| 1,740 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010696383 |
| 2,224 |
Publishing Graph Degree Distribution with Node Differential Privacy |
2016 |
SIGMOD |
9.256869e-05 |
| 2,228 |
Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies |
2014 |
SIGMOD |
9.2488181e-05 |
| 2,408 |
Estimating Numerical Distributions under Local Differential Privacy |
2020 |
SIGMOD |
8.8694564e-05 |
| 2,436 |
Optimizing error of high-dimensional statistical queries under differential privacy |
2018 |
VLDB |
8.8217855e-05 |
| 2,461 |
Principled Evaluation of Differentially Private Algorithms using DPBench |
2016 |
SIGMOD |
8.7486072e-05 |
| 2,556 |
Answering Multi-Dimensional Analytical Queries under Local Differential Privacy |
2019 |
SIGMOD |
8.5485513e-05 |
| 2,791 |
CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers |
2020 |
SIGMOD |
8.1198086e-05 |
| 3,361 |
Answering Multi-Dimensional Range Queries under Local Differential Privacy |
2021 |
VLDB |
7.1718964e-05 |
| 3,401 |
Answering Range Queries Under Local Differential Privacy |
2019 |
VLDB |
7.1343786e-05 |
| 4,504 |
ϵktelo: A Framework for Defining Differentially-Private Computations |
2018 |
SIGMOD |
6.1307972e-05 |
| 5,499 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
5.4737427e-05 |
| 5,552 |
Differential Privacy in the Wild: A tutorial on current practices & open challenges |
2016 |
VLDB |
5.4413452e-05 |
| 5,700 |
Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges |
2017 |
SIGMOD |
5.3655082e-05 |
| 7,034 |
A Neural Database for Differentially Private Spatial Range Queries |
2022 |
VLDB |
4.8504321e-05 |
| 7,059 |
Residual Sensitivity for Differentially Private Multi-Way Joins |
2021 |
SIGMOD |
4.8404261e-05 |
| 7,194 |
Longshot: Indexing Growing Databases using MPC and Differential Privacy |
2023 |
VLDB |
4.7990411e-05 |
| 7,311 |
Pythia: Data Dependent Differentially Private Algorithm Selection |
2017 |
SIGMOD |
4.7605916e-05 |
| 7,437 |
Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy |
2023 |
SIGMOD |
4.7258659e-05 |
| 7,584 |
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries |
2022 |
PODS |
4.7015411e-05 |
| 7,620 |
Budget Sharing for Multi-Analyst Differential Privacy |
2021 |
VLDB |
4.6896122e-05 |
| 8,000 |
Optimizing Fitness-For-Use of Differentially Private Linear Queries |
2021 |
VLDB |
4.6061476e-05 |
| 8,073 |
Doquet: Differentially Oblivious Range and Join Queries with Private Data Structures |
2023 |
VLDB |
4.5889649e-05 |
| 8,412 |
Differentially Private Hierarchical Count-of-Counts Histograms |
2018 |
VLDB |
4.5142126e-05 |
| 8,669 |
CoopStore: Optimizing Precomputed Summaries for Aggregation |
2020 |
VLDB |
4.4667395e-05 |
| 8,837 |
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration |
2023 |
VLDB |
4.4350633e-05 |
| 9,290 |
PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy |
2024 |
VLDB |
4.358174e-05 |
| 9,514 |
Multi-Analyst Differential Privacy for Online Query Answering |
2023 |
VLDB |
4.3294349e-05 |
| 9,799 |
DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries |
2023 |
SIGMOD |
4.2777144e-05 |
| 10,015 |
Differentially Private Explanations for Clusters |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,094 |
N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,153 |
Defense against Poisoning Attacks under Shuffle-DP |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,366 |
Private Synthetic Data Generation in Bounded Memory |
2025 |
PODS |
4.1905499e-05 |
| 10,530 |
RM2: Answer Counting Queries Efficiently under Shuffle Differential Privacy |
2025 |
SIGMOD |
4.1905499e-05 |
| 11,518 |
ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee |
2021 |
VLDB |
4.1905499e-05 |