Habiba Farzand (University of Glasgow), Florian Mathis (University of Glasgow), Karola Marky (University of Glasgow), Mohamed Khamis (University of Glasgow)

Contact Tracing Apps (CTAs) have been developed and deployed in various parts of the world to track the spread of COVID-19. However, low social acceptance and the lack of adoption can impact CTA effectiveness. Prior work primarily focused on the privacy and security of CTAs, compared different models, and studied their app design. However, it remains unclear (1) how CTA privacy is perceived by end-users; (2) what reasons behind low adoption rates are, and (3) what the situation around the social acceptability of CTAs is. In this paper, we investigate these aspects by surveying 80 participants (40 from Australia, 40 from France). Our study reveals interesting results on CTA usage, experiences, and user perceptions. We found that privacy concerns, tech unawareness, app requisites, and mistrust can reduce the users’ willingness to use CTAs. We conclude by presenting ways to foster public trust and meet users’ privacy expectations that in turn support CTA’s adoption.

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Hybrid Trust Multi-party Computation with Trusted Execution Environment

Pengfei Wu (School of Computing, National University of Singapore), Jianting Ning (College of Computer and Cyber Security, Fujian Normal University; Institute of Information Engineering, Chinese Academy of Sciences), Jiamin Shen (School of Computing, National University of Singapore), Hongbing Wang (School of Computing, National University of Singapore), Ee-Chien Chang (School of Computing, National University of Singapore)

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Demo #5: Disclosing the Pringles Syndrome in Tesla FSD...

Zhisheng Hu (Baidu), Shengjian Guo (Baidu) and Kang Li (Baidu)

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Shaduf: Non-Cycle Payment Channel Rebalancing

Zhonghui Ge (Shanghai Jiao Tong University), Yi Zhang (Shanghai Jiao Tong University), Yu Long (Shanghai Jiao Tong University), Dawu Gu (Shanghai Jiao Tong University)

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