A Formal Blueprint for Trustworthy Virtual Worlds
A comprehensive survey investigates the application of formal methods to ensure socio-technical security in eXtended Reality (XR) systems, which include virtual and augmented reality. The research systematically reviews 34 state-of-the-art approaches across six mainstream formalisms, evaluating them on criteria like expressivity, modeling complexity, and user-friendliness. The work highlights the critical need to integrate human factors—such as trust and privacy—with technical security during system development. It identifies current gaps in the field and proposes a research agenda, supported by two real-world pilot studies, to guide the creation of socially accepted and secure XR environments.
Why it might matter to you: For a professional focused on computer vision, this formal framework is directly relevant to developing secure and reliable vision systems for autonomous vehicles, robotics, and augmented reality applications where scene understanding and user trust are paramount. The emphasis on verifying privacy and security properties during the modeling phase provides a rigorous methodology that could be adapted to validate the safety of perception algorithms against adversarial examples or data breaches. This approach could become a new benchmark for ensuring that vision-based systems are not only accurate but also robust and trustworthy in real-world deployments.
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