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: h5f43585580f2b756
Venue: SIGMOD
Year: 2016
Pagerank: 8.6690677e-05
Overall Rank: 2,301 | 84.54%
DOI: 10.1145/2882903.2882931

Incoming Non-self Citations Over Time

Authors

1. Michael Hay (Colgate University)
2. Ashwin Machanavajjhala (Duke University)
3. Gerome Miklau (University of Massachusetts Amherst)
4. Yan Chen (Duke University)
5. Dan Zhang (University of Massachusetts Amherst)

BibTeX Citation

@inproceedings{hay_sigmod16,
        title = {{Principled Evaluation of Differentially Private Algorithms using DPBench}},
        author = {Hay, Michael and Machanavajjhala, Ashwin and Miklau, Gerome and Chen, Yan and Zhang, Dan},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2882931},
        url = {https://dl.acm.org/doi/10.1145/2882903.2882931},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 21 of 21 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
276	Towards Practical Differential Privacy for SQL Queries	2018	VLDB	0.00022332903
1,168	PrivateSQL: A Differentially Private SQL Query Engine	2019	VLDB	0.00011725733
2,091	Optimizing error of high-dimensional statistical queries under differential privacy	2018	VLDB	9.0614187e-05
2,867	CryptEpsilon: Crypto-Assisted Differential Privacy on Untrusted Servers	2020	SIGMOD	7.9211415e-05
2,902	AIM: An Adaptive and Iterative Mechanism for Differentially Private Synthetic Data	2022	VLDB	7.8791059e-05
3,713	Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics	2017	SIGMOD	7.075046e-05
4,216	Answering Multi-Dimensional Range Queries under Local Differential Privacy	2021	VLDB	6.7263509e-05
4,414	ϵktelo: A Framework for Defining Differentially-Private Computations	2018	SIGMOD	6.6080858e-05
5,137	Exploring Privacy-Accuracy Tradeoffs using DPComp	2016	SIGMOD	6.2561556e-05
5,185	APEx: Accuracy-Aware Differentially Private Data Exploration	2019	SIGMOD	6.2362923e-05
5,790	A Neural Database for Differentially Private Spatial Range Queries	2022	VLDB	5.9914362e-05
6,339	A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy	2023	SIGMOD	5.8072694e-05
7,299	Architecting a Differentially Private SQL Engine	2019	CIDR	5.5599778e-05
7,506	Pythia: Data Dependent Differentially Private Algorithm Selection	2017	SIGMOD	5.5051028e-05
7,577	Benchmarking the Utility of w-event Differential Privacy Mechanisms - When Baselines Become Mighty Competitors	2023	VLDB	5.4914399e-05
8,067	A workload-adaptive mechanism for linear queries under local differential privacy	2020	VLDB	5.3932668e-05
9,783	Answering Private Linear Queries Adaptively using the Common Mechanism	2023	VLDB	5.1285234e-05
9,785	Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements	2021	SIGMOD	5.1285234e-05
10,642	Defense against Poisoning Attacks under Shuffle-DP	2026	SIGMOD	4.9769913e-05
11,777	Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy	2023	VLDB	4.9769913e-05
13,850	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.

Rank	Cited Paper	Year	Venue	Pagerank
64	Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis	2009	SIGMOD	0.00038504258
121	Boosting the Accuracy of Differentially Private Histograms Through Consistency	2010	VLDB	0.0003107472
275	Optimal Histograms with Quality Guarantees	1998	VLDB	0.00022404363
558	Understanding Hierarchical Methods for Differentially Private Histograms	2013	VLDB	0.0001646292
626	Optimizing Linear Counting Queries Under Differential Privacy	2010	PODS	0.00015471495
1,530	A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy	2014	VLDB	0.00010345019
1,991	Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy	2012	VLDB	9.2419484e-05
2,129	An Adaptive Mechanism for Accurate Query Answering under Differential Privacy	2012	VLDB	8.9967149e-05
2,855	iReduct: Differential Privacy with Reduced Relative Errors	2011	SIGMOD	7.93537e-05
3,939	DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems	2015	VLDB	6.9120876e-05
4,088	Differential Privacy in Telco Big Data Platform	2015	VLDB	6.8118045e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	2,091	Optimizing error of high-dimensional statistical queries under differential privacy	2018	VLDB
2	3,330	Answering Range Queries Under Local Differential Privacy	2019	SIGMOD
3	11,211	Computing Inconsistency Measures Under Differential Privacy	2025	SIGMOD
4	7,489	DPGraph: A Benchmark Platform for Differentially Private Graph Analysis	2021	SIGMOD
5	10,805	Measuring Database Unfairness via Dependency Quantification Under Differential Privacy	2026	VLDB
6	12,378	Design of Policy-Aware Differentially Private Algorithms	2016	VLDB
7	7,442	A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries	2022	PODS
8	5,137	Exploring Privacy-Accuracy Tradeoffs using DPComp	2016	SIGMOD
9	10,550	A General Framework for Per-record Differential Privacy	2026	SIGMOD
10	1,530	A Data- and Workload-Aware Algorithm for Range Queries Under Differential Privacy	2014	VLDB