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InfiniFilter: Expanding Filters to Infinity and Beyond
Summary: InfiniFilter enables growth of membership filters by doubling capacity and re-mapping fingerprints with a per-entry bit sacrifice. Flexible hash-slot layout maps longer fingerprints to slots, preserving low FPR while sustaining stable insert/query/delete.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
had10ec50705b7067
Venue
SIGMOD
Year
2023
Pagerank
6.2679091e-05
Overall Rank
5,082 | 65.94%
DOI
10.1145/3589285
Incoming Non-self Citations Over Time
Authors
1.
Niv Dayan
(University of Toronto)
2.
Ioana Bercea
(Basic Algorithms Research Center; IT University of Copenhagen)
3.
Pedro Reviriego
(Technical University of Madrid)
4.
Rasmus Pagh
(Basic Algorithms Research Center; University of Copenhagen)
BibTeX Citation
Copy BibTeX
@inproceedings{dayan_sigmod23,
title = {{InfiniFilter: Expanding Filters to Infinity and Beyond}},
author = {Dayan, Niv and Bercea, Ioana and Reviriego, Pedro and Pagh, Rasmus},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3589285},
url = {https://dl.acm.org/doi/10.1145/3589285},
year = {2023}
}
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