Skip to content

tkgsn/covid-demo

Repository files navigation

PANDA: Policy-aware Location Privacy for Epidemic Surveillance

This work is published in VLDB 2020 DEMO track. Download our paper here.

Our system implements Policy Graph-based Location Privacy (PGLP) for Epidemic Surveillance.

The code is adapted from Python COVID-19 ('Corona Virus') Simulation.

How to run

This is implemented with python 3.7.3

Clone this repository.

git clone https://github.com/tkgsn/covid-demo
cd covid-demo

Use virtual environment (you can skip if not needed).

python -m venv venv
. venv/bin/activate

Install libraries.

pip install -r requirements.txt

Run.

python my_code/UI/ui.py

References

  • [ESORICS 2020] PGLP: Customizable and Rigorous Location Privacy through Policy Graph.
    Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu.
    https://arxiv.org/abs/2005.01263

  • [VLDB 2020 demo] PANDA: Policy-aware Location Privacy for Epidemic Surveillance.
    Yang Cao, Shun Takagi, Yonghui Xiao, Li Xiong, Masatoshi Yoshikawa.
    https://arxiv.org/abs/2005.00186

Contributors

Shun Takagi (Kyoto University) [email protected]

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published