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Private Release of Graph Statistics using Ladder Functions

Summary: Introduces ladder functions for privately optimal outputs of graph statistics under differential privacy. Applied to subgraph counts, it achieves near-exact cost and improves accuracy over prior methods, enabling practical synthetic graph generation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hf54b0c928804a5af
Venue
SIGMOD
Year
2015
Pagerank
9.190805e-05
Overall Rank
2,012 | 86.48%
DOI
10.1145/2723372.2737785

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod15,
        title = {{Private Release of Graph Statistics using Ladder Functions}},
        author = {Zhang, Jun and Cormode, Graham and Procopiuc, Cecilia M. and Srivastava, Divesh and Xiao, Xiaokui},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2737785},
        url = {https://dl.acm.org/doi/10.1145/2723372.2737785},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 21 of 21 citing papers.

Rank Citing Paper Year Venue Pagerank
1,324 PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions 2016 SIGMOD 0.00011018143
1,841 Publishing Graph Degree Distribution with Node Differential Privacy 2016 SIGMOD 9.5270124e-05
2,488 Computing Local Sensitivities of Counting Queries with Joins 2020 SIGMOD 8.3933335e-05
4,498 R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys 2022 SIGMOD 6.5733482e-05
6,213 Global and Local Differentially Private Release of Count-Weighted Graphs 2023 SIGMOD 5.8463264e-05
6,414 Publishing Attributed Social Graphs with Formal Privacy Guarantees 2016 SIGMOD 5.7907796e-05
6,665 Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy 2023 SIGMOD 5.7147475e-05
6,808 Residual Sensitivity for Differentially Private Multi-Way Joins 2021 SIGMOD 5.6756613e-05
6,964 Fully Dynamic Algorithms for Graph Databases with Edge Differential Privacy 2025 PODS 5.6302214e-05
7,442 A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries 2022 PODS 5.5241292e-05
7,489 DPGraph: A Benchmark Platform for Differentially Private Graph Analysis 2021 SIGMOD 5.5102404e-05
7,610 Privacy Amplification by Sampling under User-level Differential Privacy 2024 SIGMOD 5.4839197e-05
8,338 Continual Observation of Joins under Differential Privacy 2024 SIGMOD 5.3502656e-05
8,370 Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity 2021 VLDB 5.3436e-05
9,740 Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy 2024 SIGMOD 5.1325223e-05
10,416 Acyclic Graph Pattern Counting under Local Differential Privacy 2026 SIGMOD 4.9769913e-05
10,592 N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics 2026 SIGMOD 4.9769913e-05
10,645 Efficient and Effective Biclique Counting with Local Differential Privacy 2026 SIGMOD 4.9769913e-05
11,211 Computing Inconsistency Measures Under Differential Privacy 2025 SIGMOD 4.9769913e-05
11,611 Confidence Intervals for Private Query Processing 2024 VLDB 4.9769913e-05
11,692 Node-Differentially Private Estimation of the Number of Connected Components 2023 PODS 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

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