Experiments on Adversarial Examples for Deep Learning Model Using Multimodal Sensors

Recently, artificial intelligence (AI) based on IoT sensors has been widely used, which has increased the risk of attacks targeting AI. Adversarial examples are among the most serious types of attacks in which the attacker designs inputs that can cause the machine learning system to generate incorre...

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Detalles Bibliográficos
Autores principales: Kurniawan, Ade, Ohsita, Yuichi, Murata, Masayuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696998/
https://www.ncbi.nlm.nih.gov/pubmed/36433250
http://dx.doi.org/10.3390/s22228642

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696998/
https://www.ncbi.nlm.nih.gov/pubmed/36433250
http://dx.doi.org/10.3390/s22228642

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