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VidGuard3D: A Visual Risk Analysis Approach for Protecting 3D Assets Against Video-Based Reconstruction Attacks.

Yiyao Wang, Ollie Woodman, Shenghui Hu

    IEEE Transactions on Visualization and Computer Graphics
    |June 8, 2026
    PubMed
    Summary
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    Protecting 3D assets from unauthorized reconstruction via video is crucial. VidGuard3D offers a visual risk analysis to identify and mitigate these threats by simulating attacks and guiding video editing.

    Area of Science:

    • Computer Vision
    • Digital Forensics
    • Multimedia Security

    Background:

    • Unauthorized 3D asset reconstruction from videos poses a significant threat to content publishers.
    • The complexity of 3D reconstruction techniques and varied demonstration needs make prevention difficult.

    Purpose of the Study:

    • To introduce VidGuard3D, a novel visual risk analysis approach for video-based 3D asset reconstruction attacks.
    • To quantify and pinpoint risk sources in video data related to 3D asset leakage.
    • To develop a system facilitating informed video editing for risk mitigation.

    Main Methods:

    • Utilizing attack simulation to analyze 3D asset leakage risks.
    • Correlating specific video segments with the exposure risk of user-defined asset areas.

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  • Developing a prototype system for risk-aware video editing.

    • Main Results:

    • Demonstrated the practicality and effectiveness of the VidGuard3D approach through user and case studies.
    • Provided a method to understand and quantify risks associated with video-based 3D reconstruction.
    • Enabled users to minimize detected leakage risks via targeted video editing.

    Conclusions:

    • VidGuard3D offers an effective solution for analyzing and mitigating risks of 3D asset reconstruction from videos.
    • The approach enhances understanding of video-based 3D asset leakage.
    • The developed system empowers users to proactively protect their digital assets.