VisGuardian: A Lightweight Group-based Privacy Control Technique For Front Camera Data From AR Glasses in Home Environments
Shuning Zhang, Qucheng Zang, Yongquan `Owen' Hu, Jiachen Du, Xueyang Wang, Yan Kong, Xinyi Fu, Suranga Nanayakkara, Xin Yi, Hewu Li

TL;DR
VisGuardian is a lightweight, group-based privacy control system for AR glasses that efficiently manages sensitive visual data in home environments by grouping objects and enabling quick permission settings.
Contribution
It introduces a novel group-based content filtering technique using object detection and classification to improve privacy management on AR glasses.
Findings
Achieves 0.6704 mAP50 with 14 ms latency
Increases battery life by only 1.7% per hour
User study shows it is faster and preferred over baselines
Abstract
Always-on sensing of AI applications on AR glasses makes traditional permission techniques ill-suited for context-dependent visual data, especially within home environments. The home presents a highly challenging privacy context due to the high density of sensitive objects, and the frequent presence of non-consenting family members, and the intimate nature of daily routines, making it a critical focus area for scalable privacy control mechanisms. Existing fine-grained controls, while offering nuanced choices, are inefficient for managing multiple private objects. We propose VisGuardian, a fine-grained content-based visual permission technique for AR glasses. VisGuardian features a group-based control mechanism that enables users to efficiently manage permissions for multiple private objects. VisGuardian detects objects using YOLO and adopts a pre-classified schema to group them. By…
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Taxonomy
TopicsAdvanced Malware Detection Techniques · Privacy-Preserving Technologies in Data · User Authentication and Security Systems
