Learning to Discriminate Adversarial Examples by Sensitivity Inconsistency in IoHT Systems

Deep neural networks (DNNs) have been widely adopted in many fields, and they greatly promote the Internet of Health Things (IoHT) systems by mining health-related information. However, recent studies have shown the serious threat to DNN-based systems posed by adversarial attacks, which has raised w...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Huan, Tan, Hao, Zhu, Bin, Wang, Le, Shafiq, Muhammad, Gu, Zhaoquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977516/
https://www.ncbi.nlm.nih.gov/pubmed/36875749
http://dx.doi.org/10.1155/2023/1177635

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977516/
https://www.ncbi.nlm.nih.gov/pubmed/36875749
http://dx.doi.org/10.1155/2023/1177635

Ejemplares similares