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History-Independent Dynamic Partitioning: Achieving Operation-Order Privacy in Ordered Data Structures

Summary: History-independent dynamic partitioning for ordered sets S achieved, enabling operation-order privacy with groups of size Theta(B) in partition-based indexes. Against an oblivious adversary, inserts/deletes run in O(1) expected time; high-probability bound is O(B log N / log log N). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
1971
Venue
PODS
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,137 | 23.60%
DOI
10.1145/3651609

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BibTeX Citation

@inproceedings{bender_pods24,
        address = {New York, NY, USA},
        series = {{PODS} '24},
        title = {{History-Independent Dynamic Partitioning: Achieving Operation-Order Privacy in Ordered Data Structures}},
        url = {https://dl.acm.org/doi/10.1145/3651609},
        doi = {10.1145/3651609},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Bender, Michael A. and Farach-Colton, Martín and Goodrich, Michael T. and Komlós, Hanna},
        year = {2024}
}

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

Rank Cited Paper Year Venue Pagerank
1,112 Cache-Oblivious String B-trees 2006 PODS 0.00012125766
2,843 Rose: Compressed, log-structured replication 2008 VLDB 8.0617003e-05
12,025 Anti-Persistence on Persistent Storage: History-Independent Sparse Tables and Dictionaries 2016 PODS 5.093636e-05
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