Zobrazeno 1 - 10
of 2 891
pro vyhledávání: '"homomorphic encryption (HE)"'
Autor:
Kumbhar, Hemant Ramdas ⁎, Srinivasa Rao, S.
Publikováno v:
In Expert Systems With Applications 5 April 2025 268
Autor:
Muhammad Usama Sardar, Christof Fetzer
Publikováno v:
Cybersecurity, Vol 6, Iss 1, Pp 1-7 (2023)
Abstract This research critically reviews the definition of confidential computing (CC) and the security comparison of CC with other related technologies by the Confidential Computing Consortium (CCC). We demonstrate that the definitions by CCC are a
Externí odkaz:
https://doaj.org/article/961ec009e706409c8db35e3d4f96f2d5
Publikováno v:
IEEE Access, Vol 11, Pp 50310-50324 (2023)
As cloud computing and AI as a Service are provided, it is increasingly necessary to deal with privacy sensitive data. To deal with the sensitive data, there are two cases of outsourcing process: i) many clients participate dynamically ii) many clien
Externí odkaz:
https://doaj.org/article/b533193df91741b4a729a6de6d224958
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3309-3321 (2023)
Deep learning plays an essential role in multidisciplinary research of remote sensing. We will encounter security problems during the data acquisition, processing, and result generation stages. Therefore, secure deep-learning inference services are o
Externí odkaz:
https://doaj.org/article/985d00396d6647ecbe0b123314208492
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 8, Iss 2, Pp 93-101 (2022)
As more cloud computing resources are used for machine learning training and inference processes, privacy-preserving techniques that protect data from revealing at the cloud platforms attract increasing interest. Homomorphic encryption (HE) is one of
Externí odkaz:
https://doaj.org/article/ae04abe2369a4ef8a0875a5097ca1985
Publikováno v:
Information, Vol 14, Iss 10, p 537 (2023)
Machine learning (ML) is widely used today, especially through deep neural networks (DNNs); however, increasing computational load and resource requirements have led to cloud-based solutions. To address this problem, a new generation of networks has
Externí odkaz:
https://doaj.org/article/a3e3270e0816452c9b07cb05ead6767a
Publikováno v:
Sensors, Vol 23, Iss 17, p 7389 (2023)
With the increasing number of edge devices connecting to the cloud for storage and analysis, concerns about security and data privacy have become more prominent. Homomorphic encryption (HE) provides a promising solution by not only preserving data pr
Externí odkaz:
https://doaj.org/article/652c4faf3eca43bfb4ff9a7e757ee713
Autor:
Zhao, Shaodong1 (AUTHOR) whjunfei@163.com
Publikováno v:
Applied Artificial Intelligence. 2024, Vol. 38 Issue 1, p1-23. 23p.
Autor:
de Souza, Fillipe D. M.1 (AUTHOR) fillipe.souza@intel.com, de Lassus, Hubert1 (AUTHOR), Cammarota, Ro1 (AUTHOR)
Publikováno v:
BMC Medical Genomics. 11/19/2024, Vol. 17 Issue 1, p1-36. 36p.
Autor:
Si, Zhiwei1 (AUTHOR) 220854042027@lyu.edu.cn, Wang, Juhao1 (AUTHOR) tsingtaowangjh@gmail.com, Zhao, Pengbiao2 (AUTHOR) pengbiaozhao@std.uestc.edu.cn, Wang, Xiaopei3 (AUTHOR) xwang605@ucr.edu, Song, Jingcheng1 (AUTHOR) sjc191500132@gmail.com
Publikováno v:
Sensors (14248220). Nov2024, Vol. 24 Issue 22, p7162. 17p.