PPVR: A Privacy-Preserving Approach for User Behaviors in VR

R Sun, H Wang, M Xue, HT Chen - 2024 IEEE Conference on …, 2024 - ieeexplore.ieee.org
The increasing popularity of immersive environments creates a pressing challenge of
reconciling service providers' desire to collect user behavior data with users' privacy …

Inferring Private Personal Attributes of Virtual Reality Users from Ecologically Valid Head and Hand Motion Data

V Nair, C Rack, W Guo, R Wang, S Li… - … IEEE Conference on …, 2024 - ieeexplore.ieee.org
Motion tracking “telemetry” data lies at the core of nearly all modern virtual reality (VR) and
metaverse experiences. While generally presumed innocuous, recent studies have …

Trajectory Synthesis Method Based on Personalized Local Differential Privacy

O Yuqi - 2023 IEEE 14th International Conference on Software …, 2023 - ieeexplore.ieee.org
Trajectory datasets are widely used in location-based services, providing convenience to
users and posing privacy risks. The traditional approach to trajectory dataset protection …

[PDF][PDF] Privacy in Motion: Implementing Differential Privacy for User Motion in VR

R SUN, H WANG, M XUE, HT CHEN - outbox.eait.uq.edu.au
Privacy in Motion: Implementing Differential Privacy for User Motion in VR Page 1 Privacy in
Motion: Implementing Differential Privacy for User Motion in VR RUOXI SUN, CSIRO’s Data61 …

A 6DoF VR Dataset of 3D virtualWorld for Privacy-Preserving Approach and Utility-Privacy Tradeoff

YS Wei, X Wei, SY Zheng, CH Hsu… - Proceedings of the 14th …, 2023 - dl.acm.org
Virtual Reality (VR) applications offer an immersive user experience at the expense of
privacy leakage caused by inevitably streaming various new types of user data. While some …

Local motion identification and correction schemes for ultrafast CT flow studies

CJ Wolfkiel - Proceedings Fifth Annual IEEE Symposium on …, 1992 - computer.org
Mobile users participate in numerous social media applications that revolve around user
locations, and receive customized services and recommendations tailored to their …

Differentially private trajectory analysis for points-of-interest recommendation

C Li, B Palanisamy, J Joshi - 2017 IEEE International Congress …, 2017 - ieeexplore.ieee.org
Ubiquitous deployment of low-cost mobile positioning devices and the widespread use of
high-speed wireless networks enable massive collection of large-scale trajectory data of …

DPGazeSynth: Enhancing eye-tracking virtual reality privacy with differentially private data synthesis

X Ren, J Fan, N Xu, S Wang, C Dong, Z Wen - Information Sciences, 2024 - Elsevier
As spatial computing devices increasingly integrate eye-tracking technology to enhance
virtual reality (VR) experiences, the imperative to protect sensitive eye-tracking data against …

Frequency-based randomization for guaranteeing differential privacy in spatial trajectories

F Jin, W Hua, B Ruan, X Zhou - 2022 IEEE 38th International …, 2022 - ieeexplore.ieee.org
With the popularity of GPS-enabled devices, a huge amount of trajectory data has been
continuously collected and a variety of location-based services have been developed that …

Multi-user location correlation protection with differential privacy

L Ou, Z Qin, Y Liu, H Yin, Y Hu… - 2016 IEEE 22nd …, 2016 - ieeexplore.ieee.org
In the big data era, with the rapid development of location-based applications, GPS enabled
devices and big data institutions, location correlation privacy raises more and more people's …