EvaluatAR: A Cross-Device Evaluation Framework for Rapid Prototyping of Bystander PETs in AR

Computer Science > Cryptography and Security [Submitted on 27 May 2026] EvaluatAR: A Cross-Device Evaluation Framework for Rapid Prototyping of Bystander PETs in AR Syed Ibrahim Mustafa Shah Bukhari, Matthew Corbett, Bo Ji, Brendan David-John Augmented Reality (AR) headsets continuously sense their surroundings, capturing nearby bystanders and raising privacy risks. Visual bystander privacy-enhancing technologies (PETs) mitigate this risk by detecting bystanders in egocentric scene views and applying privacy transformations (e.g., obfuscation). However, traditional PET evaluation is human-dependent, high-overhead, and device-specific, making it difficult to reproduce across devices. We present EvaluatAR, a cross-device evaluation framework for rapid prototyping at the early stage of PET evaluation. Our framework enables controlled replication of experimental conditions by standardizing PET inputs (sensor data and visual stimuli) and outputs through a record-replay workflow. We validate EvaluatAR through three case studies on HoloLens 2, Magic Leap 2, and Meta Quest 3 across implicit (continuous, context-driven) and explicit (intent-driven) PETs: (1) cross-device replay of inputs to a PET to reveal device-specific privacy-performance trade-offs; (2) generalizability of the same framework workflow across implicit and explicit PET design categories; and (3) replay of privacy-relevant edge cases to diagnose failures and validate PET modifications, yielding an improvement over the state-of-the-art baseline. These results demonstrate EvaluatAR's support for rapid, iterative PET development to advance reproducible cross-device evaluation of bystander PETs at a critical moment in the emergence of ubiquitous AR. Comments: Proceedings on Privacy Enhancing Technologies (PoPETs) 2026 Subjects: Cryptography and Security (cs.CR); Emerging Technologies (cs.ET) Cite as: arXiv:2605.29177 [cs.CR]   (or arXiv:2605.29177v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2605.29177 Focus to learn more Submission history From: Syed Ibrahim Mustafa Shah Bukhari [view email] [v1] Wed, 27 May 2026 23:29:31 UTC (2,871 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-05 Change to browse by: cs cs.ET References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)