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Learning-Based Reconstruction Attacks on Coordinate-Obfuscated Point Clouds

arXiv · AI, language, vision and robotics · article · Sep 2, 2026 · UTC

Volumetric video based on point cloud representations enables immersive virtual and augmented reality applications but introduces significant challenges for efficient and secure content delivery. Prior work proposed a selective coordinate encryption framework for point clouds that encrypts only a subset of coordinates, reducing computational costs while visually degrading unauthorized content. However, it remains unclear whether the remaining unencrypted information is sufficient to enable content reconstruction. In this paper, we evaluate the robustness of selective coordinate encryption agai

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Evidence & attribution

First collected: 2026-09-21T05:32:15.665Z. This is not the publication date.