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Lensless Gaze Is Not Private by Default: Auditing Identity Leakage Across Disclosure Surfaces

arXiv · AI, language, vision and robotics · article · Aug 31, 2026 · UTC

Lensless near-eye sensing is often described as privacy-friendly because its coded measurements are visually unintelligible. Yet visual unintelligibility reflects human interpretation, not what a learned adversary can recover. We therefore treat identity privacy as a systems property of disclosure surfaces: representations crossing sensing, storage, computation, and output boundaries. We audit a simulated lensless gaze pipeline under a 36-subject known-gallery closed-set identification protocol with a fixed, known PSF; privacy from an unknown or varying optical key is outside our scope. Report

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