Differentially Private Event Sequences over Infinite Streams
Summary: Introduces w-event differential privacy for infinite streams, protecting any event sequence within w successive time instants. Presents two DP mechanisms for stream-length-independent statistics; real-data experiments show practicality. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Georgios Kellaris (Hong Kong University of Science and Technology)
- 2. Stavros Papadopoulos (Intel; Massachusetts Institute of Technology)
- 3. Xiaokui Xiao (Nanyang Technological University)
- 4. Dimitris Papadias (Hong Kong University of Science and Technology)
BibTeX Citation
@article{kellaris_vldb14,
title = {{Differentially Private Event Sequences over Infinite Streams}},
author = {Kellaris, Georgios and Papadopoulos, Stavros and Xiao, Xiaokui and Papadias, Dimitris},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {12},
pages = {1155--1166},
doi = {10.14778/2732977.2732989},
url = {https://doi.org/10.14778/2732977.2732989},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 64 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00038522486 |
| 121 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00031089378 |
| 732 | Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption | 2010 | SIGMOD | 0.00014383875 |
| 1,453 | PrivBasis: Frequent Itemset Mining with Differential Privacy | 2012 | VLDB | 0.0001060277 |
| 2,416 | On Differentially Private Frequent Itemset Mining | 2013 | VLDB | 8.4962257e-05 |
| 2,855 | iReduct: Differential Privacy with Reduced Relative Errors | 2011 | SIGMOD | 7.9391282e-05 |
| 3,050 | Pan-private Algorithms Via Statistics on Sketches | 2011 | PODS | 7.7067158e-05 |
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