Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges

T Hu, S Wang, B She, M Zhang, X Huang… - … Journal of Digital …, 2021 - Taylor & Francis
The COVID-19 pandemic poses unprecedented challenges around the world. Many studies
have applied mobility data to explore spatiotemporal trends over time, investigate …

Revealing the landscape of privacy-enhancing technologies in the context of data markets for the IoT: A systematic literature review

GM Garrido, J Sedlmeir, Ö Uludağ, IS Alaoui… - Journal of Network and …, 2022 - Elsevier
IoT data markets in public and private institutions have become increasingly relevant in
recent years because of their potential to improve data availability and unlock new business …

A federated platform enabling a systematic collaboration among devices, data and functions for smart mobility

L You, M Danaf, F Zhao, J Guan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Through the vast adoption and application of emerging technologies, the intelligence and
autonomy of smart mobility can be substantially elevated to address more diversified …

Comparative study of differentially private synthetic data algorithms from the NIST PSCR differential privacy synthetic data challenge

CMK Bowen, J Snoke - arxiv preprint arxiv:1911.12704, 2019 - arxiv.org
Differentially private synthetic data generation offers a recent solution to release analytically
useful data while preserving the privacy of individuals in the data. In order to utilize these …

Lessons learned: Surveying the practicality of differential privacy in the industry

GM Garrido, X Liu, F Matthes, D Song - arxiv preprint arxiv:2211.03898, 2022 - arxiv.org
Since its introduction in 2006, differential privacy has emerged as a predominant statistical
tool for quantifying data privacy in academic works. Yet despite the plethora of research and …