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Principled Evaluation of Differentially Private Algorithms using DPBench
Summary: DPBench: a principled, standardized framework for evaluating differential privacy algorithms. 15 algorithms on 27 datasets (1D/2D ranges) reveal data-dependent noise and scale/shape effects; resolves inconsistencies and benchmarks against baselines.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 5123
- Venue
- SIGMOD
- Year
- 2016
- Pagerank
- 8.7486072e-05
- Overall Rank
- 2,461 | 82.90%
- DOI
-
10.1145/2882903.2882931
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 451 |
Towards Practical Differential Privacy for SQL Queries |
2018 |
VLDB |
0.00022807098 |
| 1,740 |
PrivateSQL: A Differentially Private SQL Query Engine |
2019 |
VLDB |
0.00010696383 |
| 2,436 |
Optimizing error of high-dimensional statistical queries under differential privacy |
2018 |
VLDB |
8.8217855e-05 |
| 2,791 |
CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers |
2020 |
SIGMOD |
8.1198086e-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 |
| 3,640 |
Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics |
2017 |
SIGMOD |
6.8886042e-05 |
| 4,504 |
ϵktelo: A Framework for Defining Differentially-Private Computations |
2018 |
SIGMOD |
6.1307972e-05 |
| 5,079 |
Exploring Privacy-Accuracy Tradeoffs using DPComp |
2016 |
SIGMOD |
5.7082242e-05 |
| 6,067 |
APEx: Accuracy-Aware Differentially Private Data Exploration |
2019 |
SIGMOD |
5.2241487e-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 |
| 7,311 |
Pythia: Data Dependent Differentially Private Algorithm Selection |
2017 |
SIGMOD |
4.7605916e-05 |
| 7,370 |
Benchmarking the Utility of w-event Differential Privacy Mechanisms - When Baselines Become Mighty Competitors |
2023 |
VLDB |
4.7451678e-05 |
| 7,471 |
A workload-adaptive mechanism for linear queries under local differential privacy |
2020 |
VLDB |
4.7158603e-05 |
| 7,626 |
A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy |
2023 |
SIGMOD |
4.6886327e-05 |
| 9,513 |
Answering Private Linear Queries Adaptively using the Common Mechanism |
2023 |
VLDB |
4.3294349e-05 |
| 9,515 |
Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements |
2021 |
SIGMOD |
4.3294349e-05 |
| 10,153 |
Defense against Poisoning Attacks under Shuffle-DP |
2026 |
SIGMOD |
4.1905499e-05 |
| 11,262 |
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy |
2023 |
VLDB |
4.1905499e-05 |
| 13,344 |
DIAS: Differentially Private Interactive Algorithm Selection using Pythia |
2017 |
SIGMOD |
- |
Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 7,865 |
Differentially Private Data Release over Multiple Tables |
2023 |
PODS |
4.6282846e-05 |
| 2,436 |
Optimizing error of high-dimensional statistical queries under differential privacy |
2018 |
VLDB |
8.8217855e-05 |
| 3,073 |
Answering Range Queries Under Local Differential Privacy |
2019 |
SIGMOD |
7.6098046e-05 |
| 10,522 |
Computing Inconsistency Measures Under Differential Privacy |
2025 |
SIGMOD |
4.1905499e-05 |
| 7,943 |
DPGraph: A Benchmark Platform for Differentially Private Graph Analysis |
2021 |
SIGMOD |
4.6089395e-05 |
| 11,887 |
Design of Policy-Aware Differentially Private Algorithms |
2016 |
VLDB |
4.1905499e-05 |
| 7,584 |
A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries |
2022 |
PODS |
4.7015411e-05 |
| 5,079 |
Exploring Privacy-Accuracy Tradeoffs using DPComp |
2016 |
SIGMOD |
5.7082242e-05 |
| 10,041 |
A General Framework for Per-record Differential Privacy |
2026 |
SIGMOD |
4.1905499e-05 |
| 1,928 |
A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy |
2014 |
VLDB |
0.00010062105 |