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Autor:
Cotesta, Vittorio
Publikováno v:
Max Weber Studies, 2014 Jul 01. 14(2), 147-167.
Externí odkaz:
https://www.jstor.org/stable/24579855
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
Autor:
O'Neal, Bill
Publikováno v:
The Southwestern Historical Quarterly, 2017 Apr 01. 120(4), 529-530.
Externí odkaz:
https://www.jstor.org/stable/44647174
Autor:
Lesen, Amy E.
Publikováno v:
The Oral History Review, 2017 Jan 01. 44(1), 177-180.
Externí odkaz:
https://www.jstor.org/stable/26427553
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:
Khare, R. S.
Publikováno v:
The Journal of Asian Studies, 2000 May 01. 59(2), 385-387.
Externí odkaz:
https://www.jstor.org/stable/2658663