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of 225
pro vyhledávání: '"Huang, Danny"'
Autor:
Anaraky, Reza Ghaiumy, Li, Yao, Cho, Hichang, Huang, Danny Yuxing, Byrne, Kaileigh A., Knijnenburg, Bart, Nov, Oded
Publikováno v:
ACM Conference on Human Factors in Computing Systems (CHI2024)
In this study, we explore the effectiveness of persuasive messages endorsing the adoption of a privacy protection technology (IoT Inspector) tailored to individuals' regulatory focus (promotion or prevention). We explore if and how regulatory fit (i.
Externí odkaz:
http://arxiv.org/abs/2402.17838
Autor:
Cruz, Stefany, Danek, Logan, Liu, Shinan, Kraemer, Christopher, Wang, Zixin, Feamster, Nick, Huang, Danny Yuxing, Yao, Yaxing, Hester, Josiah
Publikováno v:
Workshop on Usable Security and Privacy (USEC) 2023
Users face various privacy risks in smart homes, yet there are limited ways for them to learn about the details of such risks, such as the data practices of smart home devices and their data flow. In this paper, we present Privacy Plumber, a system t
Externí odkaz:
http://arxiv.org/abs/2301.11998
Smart home IoT devices are known to be breeding grounds for security and privacy vulnerabilities. Although some IoT vendors deploy updates, the update process is mostly opaque to researchers. It is unclear what software components are on devices, whe
Externí odkaz:
http://arxiv.org/abs/2208.14367
Publikováno v:
ACM Transactions on Internet Technology, Volume 22, Issue 3, August 2022, Article 79, pp 1-31
Many households include children who use voice personal assistants (VPA) such as Amazon Alexa. Children benefit from the rich functionalities of VPAs and third-party apps but are also exposed to new risks in the VPA ecosystem. In this paper, we first
Externí odkaz:
http://arxiv.org/abs/2102.03382
Akademický článek
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Akademický článek
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Many Internet of Things (IoT) devices have voice user interfaces (VUIs). One of the most popular VUIs is Amazon's Alexa, which supports more than 47,000 third-party applications ("skills"). We study how Alexa's integration of these skills may confuse
Externí odkaz:
http://arxiv.org/abs/1910.14112
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. Volume 4, Issue 2, Article 46. June 2020
The proliferation of smart home devices has created new opportunities for empirical research in ubiquitous computing, ranging from security and privacy to personal health. Yet, data from smart home deployments are hard to come by, and existing empiri
Externí odkaz:
http://arxiv.org/abs/1909.09848
Autor:
Chattopadhyay, Tithi, Feamster, Nick, Ferreira, Matheus V. X., Huang, Danny Yuxing, Weinberg, S. Matthew
Publikováno v:
WWW '19: The World Wide Web Conference, 2019, 196-206
We consider the problem of regulating products with negative externalities to a third party that is neither the buyer nor the seller, but where both the buyer and seller can take steps to mitigate the externality. The motivating example to have in mi
Externí odkaz:
http://arxiv.org/abs/1902.10008
Publikováno v:
Proceedings on Privacy Enhancing Technologies 2019.3 (2019) 128-148
The proliferation of smart home Internet of Things (IoT) devices presents unprecedented challenges for preserving privacy within the home. In this paper, we demonstrate that a passive network observer (e.g., an Internet service provider) can infer pr
Externí odkaz:
http://arxiv.org/abs/1812.00955