隐私保护对象检测与韦拉克鲁斯

Mathias Brossard, Guilhem Bryant, Xinxin Fan, Alexandre Ferreira, Edmund Grimley-Evans, Christopher Haster, Derek Miller, D. Mulligan, Hugo J. M. Vincent, Shale Xiong, Lei Xu
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引用次数: 0

摘要

Ucam是由IoTeX设计的以用户为中心,基于区块链的端到端安全家庭IP摄像机系统。在Ucam系统中,摄像机捕获的所有视频片段在存储到云端之前都使用用户控制的对称密钥进行加密。在这篇演示论文中,我们使用Veracruz (Arm Research开发的机密计算框架)描述了Ucam系统的系统架构和隐私保护对象检测概念验证(PoC)的实现。由此产生的PoC证明了在不泄露用户敏感信息的情况下将目标检测能力引入Ucam系统的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy-Preserving Object Detection with Veracruz
Ucam is a user-centric, blockchain-based and end-to-end secure home IP camera system designed by IoTeX. In a Ucam system, all the video clips captured by the camera are encrypted using a user-controlled symmetric key before storing them in the cloud. In this demo paper, we describe the system architecture and implementation of a privacy-preserving object detection proof-of-concept (PoC) for the Ucam system using Veracruz, a confidential computing framework developed by Arm Research. The resulting PoC demonstrates the viability of bringing the object detection capability to the Ucam system without leaking users sensitive information.
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