Exploring the Uncoordinated Privacy Protections of Eye Tracking and VR Motion Data for Unauthorized User Identification
Samantha Aziz, Oleg Komogortsev
摘要
Virtual reality (VR) sensors capture large amounts of user data, including body motion and eye tracking, that contain personally identifying information. While privacy-enhancing techniques can obfuscate this data, incomplete privacy protections risk privacy leakage, which may allow adversaries to leverage unprotected data to identify users without consent. This work examines the extent to which unprotected body motion data can undermine privacy protections for eye tracking data, and vice versa, to enable user identification in VR. These findings highlight a privacy consideration at the intersection of eye tracking and VR, and emphasize the need for privacy protections that address these technologies comprehensively.
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引用它的顶会 Paper4
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- Going Incognito in the Metaverse: Achieving Theoretically Optimal Privacy-Usability Tradeoffs in VRVivek C. Nair, Gonzalo Munilla Garrido, Dawn SongUIST 2023 · 被引用 54 次
- Temporal Effects in Motion Behavior for Virtual Reality (VR) BiometricsRobert Miller, Natasha Kholgade Banerjee, Sean BanerjeeIEEE VR 2022 · 被引用 36 次
- Prepose: Privacy, Security, and Reliability for Gesture-Based ProgrammingLucas Silva Figueiredo, Benjamin Livshits, David Molnar, Margus VeanesS&P 2016 · 被引用 30 次
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