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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
9.1951579e-05
Overall Rank
2,009 | 86.50%
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 0.00011023355
1,838 Publishing Graph Degree Distribution with Node Differential Privacy 2016 SIGMOD 9.5315245e-05
2,488 Computing Local Sensitivities of Counting Queries with Joins 2020 SIGMOD 8.3973087e-05
4,496 R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys 2022 SIGMOD 6.5764614e-05
6,210 Global and Local Differentially Private Release of Count-Weighted Graphs 2023 SIGMOD 5.8490953e-05
6,411 Publishing Attributed Social Graphs with Formal Privacy Guarantees 2016 SIGMOD 5.7935222e-05
6,661 Better than Composition: How to Answer Multiple Relational Queries under Differential Privacy 2023 SIGMOD 5.717454e-05
6,803 Residual Sensitivity for Differentially Private Multi-Way Joins 2021 SIGMOD 5.6783493e-05
6,963 Fully Dynamic Algorithms for Graph Databases with Edge Differential Privacy 2025 PODS 5.6328879e-05
7,439 A Nearly Instance-optimal Differentially Private Mechanism for Conjunctive Queries 2022 PODS 5.5267455e-05
7,483 DPGraph: A Benchmark Platform for Differentially Private Graph Analysis 2021 SIGMOD 5.5128501e-05
7,604 Privacy Amplification by Sampling under User-level Differential Privacy 2024 SIGMOD 5.486517e-05
8,334 Continual Observation of Joins under Differential Privacy 2024 SIGMOD 5.3527996e-05
8,366 Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity 2021 VLDB 5.3461308e-05
9,735 Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy 2024 SIGMOD 5.1349531e-05
10,404 Acyclic Graph Pattern Counting under Local Differential Privacy 2026 SIGMOD 4.9793485e-05
10,581 N2E: A General Framework to Reduce Node-Differential Privacy to Edge-Differential Privacy for Graph Analytics 2026 SIGMOD 4.9793485e-05
10,634 Efficient and Effective Biclique Counting with Local Differential Privacy 2026 SIGMOD 4.9793485e-05
11,202 Computing Inconsistency Measures Under Differential Privacy 2025 SIGMOD 4.9793485e-05
11,605 Confidence Intervals for Private Query Processing 2024 VLDB 4.9793485e-05
11,686 Node-Differentially Private Estimation of the Number of Connected Components 2023 PODS 4.9793485e-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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