Analyzing large-scale human mobility data: a survey of machine learning methods and applications

E Toch, B Lerner, E Ben-Zion, I Ben-Gal - Knowledge and Information …, 2019 - Springer
Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …

Human-data interaction: The human face of the data-driven society

R Mortier, H Haddadi, T Henderson, D McAuley… - ar**, play an essential role
in making decisions like choosing a restaurant for our daily life. These systems heavily rely …

MaaS surveillance: Privacy considerations in mobility as a service

CD Cottrill - Transportation Research Part A: Policy and Practice, 2020 - Elsevier
The concept of Mobility as a Service (MaaS) is seeing increasing attention from researchers,
industry, and the public sector. MaaS, which posits that traditional models of car ownership …

Personalized advertising computational techniques: A systematic literature review, findings, and a design framework

I Viktoratos, A Tsadiras - Information, 2021 - mdpi.com
This work conducts a systematic literature review about the domain of personalized
advertisement, and more specifically, about the techniques that are used for this purpose …

Anatomization and protection of mobile {Apps'} location privacy threats

K Fawaz, H Feng, KG Shin - 24th USENIX Security Symposium (USENIX …, 2015 - usenix.org
Mobile users are becoming increasingly aware of the privacy threats resulting from apps'
access of their location. Few of the solutions proposed thus far to mitigate these threats have …

Location privacy models in mobile applications: conceptual view and research directions

ML Damiani - GeoInformatica, 2014 - Springer
Location privacy in mobile, location-aware applications is a prominent research topic
spanning across different disciplines and with strong societal implications and expectations …

DeepSneak: User GPS Trajectory Reconstruction from Federated Route Recommendation Models

T Ariyarathna, M Mohommady, H Paik… - ACM Transactions on …, 2024 - dl.acm.org
Decentralized machine learning, such as Federated Learning (FL), is widely adopted in
many application domains. Especially in domains like recommendation systems, sharing …

Defining user risk in social networking services

D Haynes, L Robinson - Aslib Journal of information management, 2015 - emerald.com
Defining user risk in social networking services | Emerald Insight Books and journals Case
studies Expert Briefings Open Access Publish with us Advanced search Defining user risk in …

VLIA: Navigating Shadows with Proximity for Highly Accurate Visited Location Inference Attack against Federated Recommendation Models

T Ariyarathna, M Mohammady, HY Paik… - Proceedings of the 19th …, 2024 - dl.acm.org
Personalized location recommendation allows users to enjoy a seamless travel experience
by suggesting the optimal travel locations/routes based on user preferences. Most service …