Adversarial Examples-Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices.

Rahman, Abdur; Hossain, M Shamim; Alrajeh, Nabil A; Alsolami, Fawaz

Rahman, Abdur; Hossain, M Shamim; Alrajeh, Nabil A; Alsolami, Fawaz.

Afiliación

Rahman A; Department of Cyber Security and Forensic ComputingCollege of Computer and Cyber SciencesUniversity of Prince Mugrin Madinah Al Munawwarah 41499 Saudi Arabia.
Hossain MS; Chair of Pervasive and Mobile ComputingDepartment of Software EngineeringCollege of Computer and Information Sciences, King Saud University Riyadh 11543 Saudi Arabia.
Alrajeh NA; Biomedical Technology DepartmentCollege of Applied Medical SciencesKing Saud University Riyadh 11543 Saudi Arabia.
Alsolami F; Computer Science DepartmentKing Abdulaziz University Jeddah 21341 Saudi Arabia.

IEEE Internet Things J ; 8(12): 9603-9610, 2021 Jun 15.

Article en En | MEDLINE | ID: mdl-36811011

Palabras clave

Adversarial examples (AEs); COVID-19; deep learning (DL); medical IoT

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: IEEE Internet Things J Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos

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