Machine learning for synthetic data generation: a review

Y Lu, M Shen, H Wang, X Wang, C van Rechem… - arxiv preprint arxiv …, 2023 - arxiv.org
Machine learning heavily relies on data, but real-world applications often encounter various
data-related issues. These include data of poor quality, insufficient data points leading to …

Location privacy-preserving mechanisms in location-based services: A comprehensive survey

H Jiang, J Li, P Zhao, F Zeng, Z **ao… - ACM Computing Surveys …, 2021 - dl.acm.org
Location-based services (LBSs) provide enhanced functionality and convenience of
ubiquitous computing, but they open up new vulnerabilities that can be utilized to violate the …

An effective approach for the protection of user commodity viewing privacy in e-commerce website

Z Wu, S Shen, H Zhou, H Li, C Lu, D Zou - Knowledge-Based Systems, 2021 - Elsevier
Along with the rapid development of network technologies, the server-side of an e-
commerce website is becoming more and more untrustworthy. Thus, how to prevent the …

The long road to computational location privacy: A survey

V Primault, A Boutet, SB Mokhtar… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
The widespread adoption of continuously connected smartphones and tablets developed
the usage of mobile applications, among which many use location to provide geolocated …

Enhancing privacy through caching in location-based services

B Niu, Q Li, X Zhu, G Cao, H Li - 2015 IEEE conference on …, 2015 - ieeexplore.ieee.org
Privacy protection is critical for Location-Based Services (LBSs). In most previous solutions,
users query service data from the untrusted LBS server when needed, and discard the data …

A location privacy-preserving system based on query range cover-up or location-based services

Z Wu, R Wang, Q Li, X Lian, G Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Location-based service (LBS) has been widely used in various fields of industry, and
become a vital part of people's daily life. However, while providing great convenience for …

Synthesizing plausible privacy-preserving location traces

V Bindschaedler, R Shokri - 2016 IEEE Symposium on Security …, 2016 - ieeexplore.ieee.org
Camouflaging user's actual location with fakes is a prevalent obfuscation technique for
protecting location privacy. We show that the protection mechanisms based on the existing …

Security and privacy in location-based services for vehicular and mobile communications: An overview, challenges, and countermeasures

P Asuquo, H Cruickshank, J Morley… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Location-based services (LBSs) have gained popularity as a result of the advances in
mobile and communication technologies. LBS provide users with relevant information based …

pRide: Privacy-Preserving Ride Matching Over Road Networks for Online Ride-Hailing Service

Y Luo, X Jia, S Fu, M Xu - IEEE Transactions on Information …, 2018 - ieeexplore.ieee.org
An online ride-hailing (ORH) service, such as Uber and Didi Chuxing, can provide on-
demand transportation service to users via mobile phones, which brings great convenience …

Utility-aware synthesis of differentially private and attack-resilient location traces

ME Gursoy, L Liu, S Truex, L Yu, W Wei - Proceedings of the 2018 ACM …, 2018 - dl.acm.org
As mobile devices and location-based services become increasingly ubiquitous, the privacy
of mobile users' location traces continues to be a major concern. Traditional privacy …