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English(EN) Hidden In Plain Gaze: Gaze Representations as Privacy Controls for Utility and Re-identification Risk in XR

XR凝视数据表示影响隐私和效用

一篇新的研究论文探讨了凝视数据在扩展现实(XR)系统中的表示方式如何影响用户效用和隐私。该研究使用HoloAssist数据集,比较了原始凝视、空间注意力热图和工程化的眼动特征。结果表明,工程化特征通过将用户重新识别风险降低一个数量级,同时保留了原始凝视数据约85%的动作识别准确性,从而提供了显著的隐私优势。这表明仔细的特征工程可以作为一种轻量级的隐私控制,补充差分隐私等其他方法。 AI

影响 提出了一种在不显著损失功能的情况下增强XR系统用户隐私的方法。

排序理由 研究论文发表在arXiv上,详细介绍了XR系统隐私控制的一种新颖方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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XR凝视数据表示影响隐私和效用

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研究论文发表在arXiv上,详细介绍了XR系统隐私控制的一种新颖方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Cory Ilo, Brendan-David John, Doug A. Bowman ·

    隐藏在视线之中:视线表示作为XR效用和重新识别风险的隐私控制

    arXiv:2609.04592v1 Announce Type: cross Abstract: Intelligent extended reality (XR) systems increasingly use eye and head tracking to infer user intent, task, and attention, but the same signals can also reveal biometric identity. We study whether gaze data representation choice …