[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 …

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 …

Differential privacy for location and trajectory data

Y Anajar, O Pereira, FX Standaert - dial.uclouvain.be
As data-driven technologies continue to shape our world, the need for privacy and security
in the realm of data has become increasingly important. The proliferation of services that rely …

An Analysis of Differential Privacy Research in Location and Trajectory Data

FZ Errounda, Y Liu - 2020 - researchsquare.com
Location and trajectory data are routinely collected to generate valuable knowledge about
users' pattern behavior. However, releasing location data may jeopardize the privacy of the …

A differentially private trajectory publishing mechanism based on stay points

Y Xia, Y Lin, H Wang - Cyberspace Safety and Security: 11th International …, 2019 - Springer
Trajectory data contains abundant of spatiotemporal information, publishing unprotected
trajectories may disclose individual privacy. Recently, researchers have proposed …

Differentially private real-time data publishing over infinite trajectory streams

Y Cao, M Yoshikawa - IEICE TRANSACTIONS on Information and …, 2016 - search.ieice.org
Recent emerging mobile and wearable technologies make it easy to collect personal
spatiotemporal data such as activity trajectories in daily life. Publishing real-time statistics …

Differentially private real-time data publishing over infinite trajectory streams

CAO Yang, Y Masatoshi - IEICE Transactions on Information and …, 2016 - cir.nii.ac.jp
抄録 Recent emerging mobile and wearable technologies make it easy to collect personal
spatiotemporal data such as activity trajectories in daily life. Publishing real-time statistics …

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 Privacy Protection Method Based on Sensitivity Analysis

S Gao, W Liu, Y Lu - Proceedings of the 2023 7th International …, 2023 - dl.acm.org
With the widespread popularity of mobile devices, users continue to generate a variety of
trajectory data in their daily activities. However, trajectory data often contains sensitive …

A trajectory protection method based on differential privacy and semantic attributes

L Liu - Academic Journal of Computing & Information Science, 2024 - francis-press.com
With the popularity of smart wearable devices, Location-Based Services (LBS) have been
widely applied. However, LBS generates thousands of trajectories, which may potentially …