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.
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 62 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00038970535 |
| 121 | Boosting the Accuracy of Differentially Private Histograms Through Consistency | 2010 | VLDB | 0.00031639377 |
| 757 | Differentially Private Aggregation of Distributed Time-Series with Transformation and Encryption | 2010 | SIGMOD | 0.00014306168 |
| 1,421 | PrivBasis: Frequent Itemset Mining with Differential Privacy | 2012 | VLDB | 0.00010828328 |
| 2,366 | On Differentially Private Frequent Itemset Mining | 2013 | VLDB | 8.6866148e-05 |
| 2,799 | iReduct: Differential Privacy with Reduced Relative Errors | 2011 | SIGMOD | 8.1125988e-05 |
| 2,992 | Pan-private Algorithms Via Statistics on Sketches | 2011 | PODS | 7.8836024e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,707 | Set-valued Data Publication with Local Privacy: Tight Error Bounds and Efficient Mechanisms | 2020 | VLDB |
| 2 | 10,473 | MTSP-LDP: A Framework for Multi-Task Streaming Data Publication under Local Differential Privacy | 2026 | SIGMOD |
| 3 | 7,241 | On the Complexity of Privacy-Preserving Complex Event Processing | 2011 | PODS |
| 4 | 10,759 | Efficient and Accurate Differentially Private Cardinality Continual Releases | 2025 | SIGMOD |
| 5 | 9,303 | SPAS: Continuous Release of Data Streams under w-Event Differential Privacy | 2025 | SIGMOD |
| 6 | 10,150 | Concurrent Composition for Differentially Private Continual Mechanisms | 2026 | PODS |
| 7 | 5,555 | Practical Differential Privacy via Grouping and Smoothing | 2013 | VLDB |
| 8 | 3,166 | LDP-IDS: Local Differential Privacy for Infinite Data Streams | 2022 | SIGMOD |
| 9 | 7,429 | Benchmarking the Utility of w-event Differential Privacy Mechanisms - When Baselines Become Mighty Competitors | 2023 | VLDB |
| 10 | 9,304 | Infinite Stream Estimation under Personalized w-Event Privacy | 2025 | VLDB |