Privacy-Preserving Aggregate Mobility Data Release: An Information-Theoretic Deep Reinforcement Learning Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3152361
Abstract: It is crucial to protect users’ location traces against inference attacks on aggregate mobility data collected from multiple users in various real-world applications. Most of the existing works on aggregate mobility data are focusing on… read more here.
Keywords: information; mobility data; privacy; release ... See more keywords
Forecasting Daily COVID-19 Case Counts Using Aggregate Mobility Statistics
Sign Up to like & getrecommendations! Published in 2022 at "Data"
DOI: 10.3390/data7110166
Abstract: The COVID-19 pandemic has impacted the whole world profoundly. For managing the pandemic, the ability to forecast daily COVID-19 case counts would bring considerable benefit to governments and policymakers. In this paper, we propose to… read more here.
Keywords: case counts; case; daily covid; covid case ... See more keywords