ConTPL: Controlling Temporal Privacy Leakage in Differentially Private Continuous Data Release
Summary: ConTPL bounds Temporal Privacy Leakage (TPL) in DP continuous data releases by modeling temporal correlations that may violate epsilon. It converts any DP streaming release to bound TPL at a chosen level, with a UI and real-time visualization of effects. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yang Cao (Emory University)
- 2. Li Xiong (Emory University)
- 3. Masatoshi Yoshikawa (Kyoto University)
- 4. Yonghui Xiao (Google)
- 5. Si Zhang (University of Calgary)
BibTeX Citation
@article{cao_vldb18,
title = {{ConTPL: Controlling Temporal Privacy Leakage in Differentially Private Continuous Data Release}},
author = {Cao, Yang and Xiong, Li and Yoshikawa, Masatoshi and Xiao, Yonghui and Zhang, Si},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {2090--2093},
doi = {10.14778/3229863.3236267},
url = {https://doi.org/10.14778/3229863.3236267},
year = {2018}
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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 |
|---|---|---|---|---|
| 2,074 | Differentially Private Event Sequences over Infinite Streams | 2014 | VLDB | 9.2192882e-05 |
| 3,375 | Bayesian Differential Privacy on Correlated Data | 2015 | SIGMOD | 7.4639817e-05 |
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