Tu Le (University of California, Irvine), Zixin Wang (Zhejiang University), Danny Yuxing Huang (New York University), Yaxing Yao (Virginia Tech), Yuan Tian (University of California, Los Angeles)

Voice-controlled devices or their software component, known as voice personal assistant (VPA), offer technological advancements that improve user experience. However, they come with privacy concerns such as unintended recording of the user’s private conversations. This data could potentially be stolen by adversaries or shared with third parties. Therefore, users need to be aware of these and other similar potential privacy risks presented by VPAs. In this paper, we first study how VPA users monitor their voice interaction recorded by their VPAs and their expectations via an online survey of 100 users. We find that even though users were aware of the VPAs holding recordings of them, they initially thought reviewing the recordings was unnecessary. However, they were surprised that there were unintended recordings and that they could review the recordings. When presented with what types of unintended recordings might happen, more users wanted the option to review their interaction history. This indicates the importance of data transparency. We then build a browser extension that helps users monitor their voice interaction history and notifies users of unintended conversations recorded by their voice assistants. Our tool experiments with notifications using smart light devices in addition to the traditional push notification approach. With our tool, we then interview 10 users to evaluate the usability and further understand users’ perceptions of such unintended recordings. Our results show that unintended recordings could be common in the wild and there is a need for a tool to help manage the voice interaction recordings with VPAs. Smart light notification is potentially a useful mechanism that should be adopted in addition to the traditional push notification.

View More Papers

On the Security of Satellite-Based Air Traffic Control

Tobias Lüscher (ETH Zurich), Martin Strohmeier (Cyber-Defence Campus, armasuisse S+T), Vincent Lenders (Cyber-Defence Campus, armasuisse S+T)

Read More

PriSrv: Privacy-Enhanced and Highly Usable Service Discovery in Wireless...

Yang Yang (School of Computing and Information Systems, Singapore Management University, Singapore), Robert H. Deng (School of Computing and Information Systems, Singapore Management University, Singapore), Guomin Yang (School of Computing and Information Systems, Singapore Management University, Singapore), Yingjiu Li (Department of Computer Science, University of Oregon, USA), HweeHwa Pang (School of Computing and Information Systems,…

Read More

Front-running Attack in Sharded Blockchains and Fair Cross-shard Consensus

Jianting Zhang (Purdue University), Wuhui Chen (Sun Yat-sen University), Sifu Luo (Sun Yat-sen University), Tiantian Gong (Purdue University), Zicong Hong (The Hong Kong Polytechnic University), Aniket Kate (Purdue University)

Read More

Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic...

Takami Sato (University of California Irvine), Sri Hrushikesh Varma Bhupathiraju (University of Florida), Michael Clifford (Toyota InfoTech Labs), Takeshi Sugawara (The University of Electro-Communications), Qi Alfred Chen (University of California, Irvine), Sara Rampazzi (University of Florida)

Read More