Benchmarking the Utility of w-event Differential Privacy Mechanisms - When Baselines Become Mighty Competitors

Summary: Introduces a comparability-focused benchmark for evaluating w-event differential privacy mechanisms on streams, addressing inconsistencies in prior studies. Large-scale results reveal “baseline supremacy”: standard baselines often match or outperform specialized mechanisms. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 13228
Venue: VLDB
Year: 2023
Pagerank: 5.6201416e-05
Overall Rank: 7,429 | 49.04%
DOI: 10.14778/3594512.3594515

Incoming Non-self Citations Over Time

Authors

1. Christine Schäler (Karlsruhe Institute of Technology)
2. Thomas Hütter (University of Salzburg)
3. Martin Schäler (University of Salzburg)

BibTeX Citation

@article{schaler_vldb23,
        title = {{Benchmarking the Utility of w-event Differential Privacy Mechanisms - When Baselines Become Mighty Competitors}},
        author = {Schäler, Christine and Hütter, Thomas and Schäler, Martin},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {8},
        pages = {1830--1842},
        doi = {10.14778/3594512.3594515},
        url = {https://doi.org/10.14778/3594512.3594515},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,303	SPAS: Continuous Release of Data Streams under w-Event Differential Privacy	2025	SIGMOD	5.289545e-05
10,473	MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy	2026	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
142	LOF: Identifying Density-Based Local Outliers	2000	SIGMOD	0.0002962566
578	Efficient Algorithms for Mining Outliers from Large Data Sets	2000	SIGMOD	0.00016221871
1,029	Anomaly Detection in Time Series: A Comprehensive Evaluation	2022	VLDB	0.00012557065
2,074	Differentially Private Event Sequences over Infinite Streams	2014	VLDB	9.2192882e-05
2,300	Principled Evaluation of Differentially Private Algorithms using DPBench	2016	SIGMOD	8.7833594e-05
3,113	CGM: An Enhanced Mechanism for Streaming Data Collection with Local Differential Privacy	2021	VLDB	7.7415187e-05
3,166	LDP-IDS: Local Differential Privacy for Infinite Data Streams	2022	SIGMOD	7.6752517e-05
5,327	Real-World Trajectory Sharing with Local Differential Privacy	2021	VLDB	6.2639736e-05
6,356	TimeEval: A Benchmarking Toolkit for Time Series Anomaly Detection Algorithms	2022	VLDB	5.9024453e-05
9,033	FAST: Differentially Private Real-Time Aggregate Monitor with Filtering and Adaptive Sampling	2013	SIGMOD	5.3278085e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	10,473	MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy	2026	SIGMOD
2	10,335	A General Framework for Per-record Differential Privacy	2026	SIGMOD
3	3,166	LDP-IDS: Local Differential Privacy for Infinite Data Streams	2022	SIGMOD
4	10,964	Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy	2025	VLDB
5	6,441	Differential Privacy in Data Publication and Analysis	2012	SIGMOD
6	7,241	On the Complexity of Privacy-Preserving Complex Event Processing	2011	PODS
7	10,150	Concurrent Composition for Differentially Private Continual Mechanisms	2026	PODS
8	2,300	Principled Evaluation of Differentially Private Algorithms using DPBench	2016	SIGMOD
9	9,304	Infinite Stream Estimation under Personalized w-Event Privacy	2025	VLDB
10	2,074	Differentially Private Event Sequences over Infinite Streams	2014	VLDB