PANDA: Policy-aware Location Privacy for Epidemic Surveillance
Summary: Policy-based location privacy for epidemic surveillance using policy graphs to constrain data sharing and mask sensitive traces. Demonstrates high privacy-utility trade-offs for people flow monitoring, disease transmission estimation, and contact tracing via an interactive tool. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yang Cao
- 2. Shun Takagi
- 3. Yonghui Xiao
- 4. Li Xiong
- 5. Masatoshi Yoshikawa
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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 |
|---|---|---|---|---|
| 2,227 | Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies | 2014 | SIGMOD | 9.2421238e-05 |
| 11,809 | LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model | 2017 | VLDB | 4.1945683e-05 |
| 13,310 | PriSTE: Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services | 2019 | VLDB | - |
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