Privacy Cyborg: Towards Protecting the Privacy of Social Media Users
Privacy Cyborg: Towards Protecting the Privacy of Social Media Users
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DOI：
10.1109/icde.2017.193
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发表时间：
2017-04
期刊：
影响因子：
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通讯作者：
T. Georgiou;A. E. Abbadi;Xifeng Yan
中科院分区：
文献类型：
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作者：
T. Georgiou;A. E. Abbadi;Xifeng Yan
为了构建能够帮助我们日常生活的人工智能系统的愿景，我们引入了一种社交媒体隐私“半机械人”的概念证明，它可以在本地和私人地监控一个人发布的内容，并在他们的隐私受到威胁时提供建议或警告。电子人的概念可以更一般，作为一个独立的本地实体，拥有自己的计算资源，可以自动代表我们执行几个在线任务。对于本演示，我们假设攻击者可以仅根据用户发布的内容成功推断用户属性(基于主题的推理)。我们专注于社交媒体隐私，特别是通过发布的内容暴露敏感用户属性的问题，如位置或种族。我们建立了一个隐私机器人，可以监控用户发布的话题，并在敏感属性面临暴露风险时自动实时警告他们。
Towards the vision of building artificial intelligence systems that can assist with our everyday life, we introduce a proof of concept for a social media privacy "cyborg" which can locally and privately monitor a person's published content and offer advice or warnings when their privacy is at stake. The idea of a cyborg can be more general, as a separate local entity with its own computational resources, that can automatically perform several online tasks on our behalf. For this demonstration, we assume an attacker that can successfully infer user attributes, solely based on what the user has published (topic-based inference). We focus on Social Media privacy and specifically on the issue of exposing sensitive user-attributes, like location, or race, through published content. We built a privacy cyborg that can monitor a user's posted topics and automatically warn them in real time when a sensitive attribute is at risk of being exposed.