Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges
The COVID-19 pandemic poses unprecedented challenges around the world. Many studies
have applied mobility data to explore spatiotemporal trends over time, investigate …
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
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 …
recent years because of their potential to improve data availability and unlock new business …
Exploring the unprecedented privacy risks of the metaverse
V Nair, GM Garrido, D Song - arXiv preprint arXiv:2207.13176, 2022 - arxiv.org
Thirty study participants playtested an innocent-looking" escape room" game in virtual reality
(VR). Behind the scenes, an adversarial program had accurately inferred over 25 personal …
(VR). Behind the scenes, an adversarial program had accurately inferred over 25 personal …
Exploring the privacy risks of adversarial VR game design
V Nair, GM Garrido, D Song… - Proceedings on Privacy …, 2023 - petsymposium.org
Fifty study participants playtested an innocent-looking" escape room" game in virtual reality
(VR). Within just a few minutes, an adversarial program had accurately inferred over 25 of …
(VR). Within just a few minutes, an adversarial program had accurately inferred over 25 of …
Privacy in trajectory micro-data publishing: a survey
We survey the literature on the privacy of trajectory micro-data, ie, spatiotemporal
information about the mobility of individuals, whose collection is becoming increasingly …
information about the mobility of individuals, whose collection is becoming increasingly …
Patient-centric synthetic data generation, no reason to risk re-identification in biomedical data analysis
M Guillaudeux, O Rousseau, J Petot, Z Bennis… - NPJ Digital …, 2023 - nature.com
While nearly all computational methods operate on pseudonymized personal data, re-
identification remains a risk. With personal health data, this re-identification risk may be …
identification remains a risk. With personal health data, this re-identification risk may be …
Evaluation methods for the impacts of shared mobility: Classification and critical review
A Roukouni, G Homem de Almeida Correia - Sustainability, 2020 - mdpi.com
In recent years, shared mobility services have had a growing presence in cities all over the
world. Developing methodologies to measure and evaluate the impacts of shared mobility …
world. Developing methodologies to measure and evaluate the impacts of shared mobility …
A federated platform enabling a systematic collaboration among devices, data and functions for smart mobility
Through the vast adoption and application of emerging technologies, the intelligence and
autonomy of smart mobility can be substantially elevated to address more diversified …
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
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 …
useful data while preserving the privacy of individuals in the data. In order to utilize these …
Big health data research and group harm: the scope of IRB review
M Doerr, S Meeder - Ethics & Human Research, 2022 - Wiley Online Library
Much of precision medicine is driven by big health data research—the analysis of massive
datasets representing the complex web of genetic, behavioral, environmental, and other …
datasets representing the complex web of genetic, behavioral, environmental, and other …