Zobrazeno 1 - 10
of 111
pro vyhledávání: '"West, Jack"'
Mobile apps have embraced user privacy by moving their data processing to the user's smartphone. Advanced machine learning (ML) models, such as vision models, can now locally analyze user images to extract insights that drive several functionalities.
Externí odkaz:
http://arxiv.org/abs/2403.19717
Zero Involvement Pairing and Authentication (ZIPA) is a promising technique for autoprovisioning large networks of Internet-of-Things (IoT) devices. In this work, we present the first successful signal injection attack on a ZIPA system. Most existing
Externí odkaz:
http://arxiv.org/abs/2403.14018
Zero Involvement Pairing and Authentication (ZIPA) is a promising technique for auto-provisioning large networks of Internet-of-Things (IoT) devices. Presently, these networks use password-based authentication, which is difficult to scale to more tha
Externí odkaz:
http://arxiv.org/abs/2311.04433
Video conferencing apps (VCAs) make it possible for previously private spaces -- bedrooms, living rooms, and kitchens -- into semi-public extensions of the office. For the most part, users have accepted these apps in their personal space without much
Externí odkaz:
http://arxiv.org/abs/2204.06128
Autor:
West, Jack, Lee, Kyuin, Banerjee, Suman, Kim, Younghyun, Thiruvathukal, George K., Klingensmith, Neil
Context-based authentication is a method for transparently validating another device's legitimacy to join a network based on location. Devices can pair with one another by continuously harvesting environmental noise to generate a random key with no u
Externí odkaz:
http://arxiv.org/abs/2104.14618
Autor:
West, Jack, VoNguyen, Tien, Ahlgren, Isaac, Motyashok, Iryna, Thiruvathukal, George K., Klingensmith, Neil
We present VoltKey, a method that transparently generates secret keys for colocated devices, leveraging spatiotemporally unique noise contexts observed in commercial power line infrastructure. VoltKey extracts randomness from power line noise and sec
Externí odkaz:
http://arxiv.org/abs/2004.00092
We present FLIC, a distributed software data caching framework for fogs that reduces network traffic and latency. FLICis targeted toward city-scale deployments of cooperative IoT devices in which each node gathers and shares data with surrounding dev
Externí odkaz:
http://arxiv.org/abs/2003.12452
Autor:
West, Jack1 (AUTHOR) jack.west@mh.org.au, Tan, Katrina2 (AUTHOR), Devi, Jalpa3 (AUTHOR), Macrae, Finlay1,4 (AUTHOR), Christensen, Britt1,4 (AUTHOR), Segal, Jonathan P.1,4 (AUTHOR)
Publikováno v:
Journal of Clinical Medicine. Oct2023, Vol. 12 Issue 19, p6292. 18p.
Autor:
Weiss, Jared, Kavanagh, Brian, Deal, Allison, Villaruz, Liza, Stevenson, James, Camidge, Ross, Borghaei, Hossein, West, Jack, Kirpalani, Padmini, Morris, David, Lee, Carrie, Pecot, Chad V., Zagar, Timothy, Stinchcombe, Thomas, Pennell, Nathan
Publikováno v:
In Cancer Treatment and Research Communications 2019 19