Calibrating Noise for Group Privacy in Subsampled Mechanisms

Summary: Provide tight GP accounting for subsampled mechanisms by analyzing subsampling randomness rather than converting black-box DP, improving GP bounds for DP-SGD and other subsampled methods. Empirical results show often >10x noise reduction vs baseline; code at github.com/Yangfan-Jiang/calibrating-group-privacy. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13955
Venue: VLDB
Year: 2025
Pagerank: 4.1945683e-05
Overall Rank: 10,664 | 25.82%
DOI: 10.14778/3705829.3705848

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Rank	Citing Paper	Year	Venue	Pagerank

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Showing 17 of 17 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
83	Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis	2009	SIGMOD	0.00053933811
136	Revealing Information while Preserving Privacy	2003	PODS	0.0004241101
1,465	No Free Lunch in Data Privacy	2011	SIGMOD	0.00011860847
1,738	PrivateSQL: A Differentially Private SQL Query Engine	2019	VLDB	0.00010720057
2,992	DPTree: Differential Indexing for Persistent Memory	2020	VLDB	7.7693475e-05
4,461	Pufferfish Privacy Mechanisms for Correlated Data	2017	SIGMOD	6.1616828e-05
4,472	A Rigorous and Customizable Framework for Privacy	2012	PODS	6.1543113e-05
4,600	Functional Mechanism: Regression Analysis under Differential Privacy	2012	VLDB	6.0578625e-05
4,805	Projected Federated Averaging with Heterogeneous Differential Privacy	2022	VLDB	5.9102798e-05
5,491	R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys	2022	SIGMOD	5.4776364e-05
5,669	Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy	2022	VLDB	5.380575e-05
6,502	Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System	2023	VLDB	5.0361846e-05
7,196	Longshot: Indexing Growing Databases using MPC and Differential Privacy	2023	VLDB	4.8036487e-05
7,624	A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy	2023	SIGMOD	4.6931334e-05
8,837	Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration	2023	VLDB	4.4393184e-05
8,873	Privacy Amplification by Sampling under User-level Differential Privacy	2024	SIGMOD	4.4313867e-05
9,417	Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms	2020	VLDB	4.3441378e-05

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