演示:使用控制隐私意识人脸识别的使用控制

Arpad Müller, Wisam Abbasi, A. Saracino
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引用次数: 0

摘要

在本文中,我们展示了一种应用保护隐私的人脸识别与基于属性的访问控制框架相结合,以规范主体对关键资源的访问,同时保护主体的隐私。演示程序利用了一种机制,该机制基于图像获取条件动态计算确保隐私和数据效用之间的最佳权衡,并利用基于XACML策略的决策引擎来表达复杂的动态条件。演示器可以处理新身份的动态关联,以及访问条件的修改。演示会话的参与者可以通过多种方式与演示交互,包括修改摄像头输入,也可以通过自定义规则以及隐私参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demo: Usage Control using Controlled Privacy Aware Face Recognition
In this paper, we demonstrate an application of privacy-preserving face recognition combined with an Attribute-Based Access Control framework to regulate access from subjects to critical resources while preserving the subject's privacy. The demonstrator exploits a mechanism that dynamically computes the best trade-off between ensured privacy and data utility, based on image acquisition conditions, and a decision engine based on XACML policies to express complex and dynamic conditions. The demonstrator can handle the dynamic association of new identities, as well as modification of access conditions. Attendees of the demo session can interact with the demo in a variety of ways, including modifying the camera input, but also through the customization of rules as well as the privacy parameter.
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