| 2,465 |
Towards Practical Oblivious Join |
2022 |
SIGMOD |
8.4071729e-05 |
| 2,497 |
Computing Local Sensitivities of Counting Queries with Joins |
2020 |
SIGMOD |
8.365674e-05 |
| 2,877 |
CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers |
2020 |
SIGMOD |
7.8955405e-05 |
| 3,304 |
Kamino: Constraint-Aware Differentially Private Data Synthesis |
2021 |
VLDB |
7.4211095e-05 |
| 3,915 |
Adore: Differentially Oblivious Relational Database Operators |
2023 |
VLDB |
6.908248e-05 |
| 4,518 |
R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys |
2022 |
SIGMOD |
6.551704e-05 |
| 4,964 |
PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy |
2023 |
SIGMOD |
6.3234288e-05 |
| 5,076 |
IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy |
2022 |
SIGMOD |
6.2720607e-05 |
| 5,740 |
Privacy Amplification via Shuffling: Unified, Simplified, and Tightened |
2024 |
VLDB |
5.9939789e-05 |
| 6,323 |
Longshot: Indexing Growing Databases using MPC and Differential Privacy |
2023 |
VLDB |
5.7958256e-05 |
| 6,520 |
DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance |
2023 |
SIGMOD |
5.7391796e-05 |
| 6,538 |
PreFair: Privately Generating Justifiably Fair Synthetic Data |
2023 |
VLDB |
5.7352151e-05 |
| 6,677 |
Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy |
2023 |
SIGMOD |
5.6958509e-05 |
| 6,823 |
Residual Sensitivity for Differentially Private Multi-Way Joins |
2021 |
SIGMOD |
5.656894e-05 |
| 6,916 |
Synthesizing Linked Data Under Cardinality and Integrity Constraints |
2021 |
SIGMOD |
5.6320169e-05 |
| 7,425 |
Compliant Geo-distributed Query Processing |
2021 |
SIGMOD |
5.5147937e-05 |
| 7,463 |
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries |
2022 |
PODS |
5.505863e-05 |
| 7,506 |
DPGraph: A Benchmark Platform for Differentially Private Graph Analysis |
2021 |
SIGMOD |
5.4920201e-05 |
| 7,626 |
Privacy Amplification by Sampling under User-level Differential Privacy |
2024 |
SIGMOD |
5.4657865e-05 |
| 7,666 |
Disclosure-Compliant Query Answering |
2024 |
SIGMOD |
5.4565877e-05 |
| 7,815 |
Budget Sharing for Multi-Analyst Differential Privacy |
2021 |
VLDB |
5.4310381e-05 |
| 8,030 |
Differentially Private Data Release over Multiple Tables |
2023 |
PODS |
5.3871505e-05 |
| 8,103 |
Differentially Private Data Generation with Missing Data |
2024 |
VLDB |
5.3739121e-05 |
| 8,106 |
Saibot: A Differentially Private Data Search Platform |
2023 |
VLDB |
5.3739121e-05 |
| 8,351 |
Continual Observation of Joins under Differential Privacy |
2024 |
SIGMOD |
5.3325743e-05 |
| 8,385 |
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity |
2021 |
VLDB |
5.3259308e-05 |
| 8,500 |
DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy |
2021 |
SIGMOD |
5.3131213e-05 |
| 8,910 |
DPXPlain: Privately Explaining Aggregate Query Answers |
2023 |
VLDB |
5.2369069e-05 |
| 9,016 |
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration |
2023 |
VLDB |
5.2232014e-05 |
| 9,380 |
DP-starJ: A Differential Private Scheme towards Analytical Star-Join Queries |
2023 |
SIGMOD |
5.1705808e-05 |
| 9,413 |
Secure and Policy-Compliant Query Processing on Heterogeneous Computational Storage Architectures |
2022 |
SIGMOD |
5.1672232e-05 |
| 9,929 |
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data |
2022 |
VLDB |
5.0966022e-05 |
| 10,003 |
Secure Sampling for Approximate Multi-party Query Processing |
2023 |
SIGMOD |
5.0845476e-05 |
| 10,069 |
Sypse: Privacy-first Data Management through Pseudonymization and Partitioning |
2021 |
CIDR |
5.0742132e-05 |
| 10,515 |
Differentially Oblivious Multi-way Join |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,518 |
DP-S4S: Accurate and Scalable Select-Join-Aggregate Query Processing with User-Level Differential Privacy |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,571 |
Prism: Private Relational Data Synthesis with Language Models |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,600 |
Differentially Private Explanations for Clusters |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,866 |
Measuring Database Unfairness via Dependency Quantification Under Differential Privacy |
2026 |
VLDB |
4.9605343e-05 |
| 11,269 |
Computing Inconsistency Measures Under Differential Privacy |
2025 |
SIGMOD |
4.9605343e-05 |
| 11,281 |
SPECIAL: SynoPsis AssistEd Secure CollaboratIve AnaLytics |
2025 |
VLDB |
4.9605343e-05 |
| 11,363 |
Alchemy: A Query Optimization Framework for Oblivious SQL |
2025 |
VLDB |
4.9605343e-05 |
| 11,370 |
Calibrating Noise for Group Privacy in Subsampled Mechanisms |
2025 |
VLDB |
4.9605343e-05 |
| 11,414 |
Privacy-Enhanced Database Synthesis for Benchmark Publishing |
2025 |
VLDB |
4.9605343e-05 |
| 11,599 |
Personalized Truncation for Personalized Privacy |
2024 |
SIGMOD |
4.9605343e-05 |
| 11,630 |
SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores |
2024 |
VLDB |
4.9605343e-05 |
| 11,658 |
Confidence Intervals for Private Query Processing |
2024 |
VLDB |
4.9605343e-05 |
| 11,689 |
DOP-SQL: A General-purpose, High-utility, and Extensible Private SQL System |
2024 |
VLDB |
4.9605343e-05 |
| 11,737 |
Universal Private Estimators |
2023 |
PODS |
4.9605343e-05 |
| 11,840 |
Explaining Differentially Private Query Results With DPXPlain |
2023 |
VLDB |
4.9605343e-05 |