{"title":"Smart Speaker Privacy Control - Acoustic Tagging for Personal Voice Assistants","authors":"Peng Cheng, I. E. Bagci, Jeff Yan, U. Roedig","doi":"10.1109/SPW.2019.00035","DOIUrl":null,"url":null,"abstract":"Personal Voice Assistants (PVAs) such as the Siri, Amazon Echo and Google Home are now commonplace. PVAs continuously monitor conversations which may be transported to a cloud back end where they are stored, processed and maybe even passed on to other service providers. A user has little control over this process. She is unable to control the recording behaviour of surrounding PVAs, unable to signal her privacy requirements to back-end systems and unable to track conversation recordings. In this paper we explore techniques for embedding additional information into acoustic signals processed by PVAs. A user employs a tagging device which emits an acoustic signal when PVA activity is assumed. Any active PVA will embed this tag into their recorded audio stream. The tag may signal a cooperating PVA or back-end system that a user has not given a recording consent. The tag may also be used to trace when and where a recording was taken. We discuss different tagging techniques and application scenarios, and we describe the implementation of a prototype tagging device based on PocketSphinx. Using the popular PVA Google Home Mini we demonstrate that the device can tag conversations and that the tagging signal can be retrieved from conversations stored in the Google back-end system.","PeriodicalId":125351,"journal":{"name":"2019 IEEE Security and Privacy Workshops (SPW)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Security and Privacy Workshops (SPW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPW.2019.00035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Personal Voice Assistants (PVAs) such as the Siri, Amazon Echo and Google Home are now commonplace. PVAs continuously monitor conversations which may be transported to a cloud back end where they are stored, processed and maybe even passed on to other service providers. A user has little control over this process. She is unable to control the recording behaviour of surrounding PVAs, unable to signal her privacy requirements to back-end systems and unable to track conversation recordings. In this paper we explore techniques for embedding additional information into acoustic signals processed by PVAs. A user employs a tagging device which emits an acoustic signal when PVA activity is assumed. Any active PVA will embed this tag into their recorded audio stream. The tag may signal a cooperating PVA or back-end system that a user has not given a recording consent. The tag may also be used to trace when and where a recording was taken. We discuss different tagging techniques and application scenarios, and we describe the implementation of a prototype tagging device based on PocketSphinx. Using the popular PVA Google Home Mini we demonstrate that the device can tag conversations and that the tagging signal can be retrieved from conversations stored in the Google back-end system.
Siri、亚马逊Echo和谷歌Home等个人语音助手(pva)现在已经很常见了。pva持续监控可能被传输到云后端的会话,在云后端存储、处理甚至可能传递给其他服务提供商。用户对这个过程几乎没有控制权。她无法控制周围pva的记录行为,无法向后端系统发出她的隐私要求,也无法跟踪谈话记录。在本文中,我们探讨了在pva处理的声信号中嵌入附加信息的技术。当假定PVA活动时,用户使用一种发出声信号的标记装置。任何活跃的PVA都会将这个标签嵌入到录制的音频流中。标签可以向合作的PVA或后端系统发出信号,表明用户尚未给予录制同意。这个标签也可以用来追踪录音的时间和地点。我们讨论了不同的标记技术和应用场景,并描述了基于PocketSphinx的原型标记设备的实现。使用流行的PVA Google Home Mini,我们演示了该设备可以标记对话,并且可以从存储在Google后端系统中的对话中检索标记信号。