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arXiv Computer Vision

Conditional Imaging for Privacy-Preserving Visual Sensing

The paper introduces conditional imaging, an approach that alters the optical state for each captured frame so that the measurement alone hides the scene while reconstruction requires knowledge of the system state. The authors prove that static optical systems cannot simultaneously guarantee privacy and recoverability, and they design a camera prototype that demonstrates this trade‑off on a human‑face dataset. Experiments show that authorized users can reconstruct identity, whereas observers lacking the system state cannot retrieve visual information.

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PrinGS: Privacy Preservation in Gaussian Splatting

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arXiv Computer Vision
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Cloak of Invisibility: Real-Time Privacy-Preserving Volumetric Video Streaming

arXiv:2608.11645v2 Announce Type: replace Abstract: Volumetric video streaming turns privacy into a 3D, multi-view problem. Unlike ordinary video, where sensitive content can often be redacted frame...

By Hossein Khalili (UCLA), Philip Do (UCLA), Alexander Vilesov (UCLA), Achuta Kadambi (UCLA), Kittipat Apicharttrisorn (Nokia Bell Labs), Nader Sehatbakhsh (UCLA)
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