Web: http://arxiv.org/abs/2201.04569

Jan. 13, 2022, 2:20 a.m. | Sunder Ali Khowaja, Ik Hyun Lee, Kapal Dev, Muhammad Aslam Jarwar, Nawab Muhammad Faseeh Qureshi

cs.CR updates on arXiv.org arxiv.org

The past decade has seen a rapid adoption of Artificial Intelligence (AI),
specifically the deep learning networks, in Internet of Medical Things (IoMT)
ecosystem. However, it has been shown recently that the deep learning networks
can be exploited by adversarial attacks that not only make IoMT vulnerable to
the data theft but also to the manipulation of medical diagnosis. The existing
studies consider adding noise to the raw IoMT data or model parameters which
not only reduces the overall performance …

attacks data defense learning model

More from arxiv.org / cs.CR updates on arXiv.org

Head of Information Security

@ Canny | Remote

Information Technology Specialist (INFOSEC)

@ U.S. Securities & Exchange Commission | Washington, D.C.

Information Security Manager - $90K-$180K - MANAG002176

@ Sound Transit | Seattle, WA

Sr. Software Security Architect

@ SAS | Remote

Senior Incident Responder

@ CipherTechs, Inc. | Remote

Data Security DevOps Engineer Senior/Intermediate

@ University of Michigan - ITS | Ann Arbor, MI