PANDA: Policy-aware Location Privacy for Epidemic Surveillance
Summary: PANDA demonstrates policy-aware location privacy for epidemic surveillance, supporting people-flow monitoring, transmission analysis, and contact tracing. An interactive system exposes privacy–utility trade-offs through policy graphs while preserving usable mobile-location analytics. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Yang Cao (Kyoto University)
- 2. Shun Takagi (Kyoto University)
- 3. Yonghui Xiao (Emory University)
- 4. Li Xiong (Emory University)
- 5. Masatoshi Yoshikawa (Kyoto University)
BibTeX Citation
@article{cao_vldb20,
title = {{PANDA: Policy-aware Location Privacy for Epidemic Surveillance}},
author = {Cao, Yang and Takagi, Shun and Xiao, Yonghui and Xiong, Li and Yoshikawa, Masatoshi},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {3001--3004},
doi = {10.14778/3415478.3415529},
url = {https://doi.org/10.14778/3415478.3415529},
year = {2020}
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,562 | Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies | 2014 | SIGMOD | 8.4127196e-05 |
| 12,012 | LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model | 2017 | VLDB | 5.093636e-05 |
| 13,511 | PriSTE: Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services | 2019 | VLDB | - |
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