Time-Constrained Adversarial Defense in IoT Edge Devices through Kernel Tensor Decomposition and Multi-DNN Scheduling

The development of deep learning technology has resulted in great contributions in many artificial intelligence services, but adversarial attack techniques on deep learning models are also becoming more diverse and sophisticated. IoT edge devices take cloud-independent on-device DNN (deep neural net...

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Detalles Bibliográficos
Autores principales: Kim, Myungsun, Joo, Sanghyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371424/
https://www.ncbi.nlm.nih.gov/pubmed/35957452
http://dx.doi.org/10.3390/s22155896

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371424/
https://www.ncbi.nlm.nih.gov/pubmed/35957452
http://dx.doi.org/10.3390/s22155896

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