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Clustering Approach for Detecting Multiple Types of Adversarial Examples

With intentional feature perturbations to a deep learning model, the adversary generates an adversarial example to deceive the deep learning model. As an adversarial example has recently been considered in the most severe problem of deep learning technology, its defense methods have been actively st...

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Detalles Bibliográficos
Autores principales: Choi, Seok-Hwan, Bahk, Tae-u, Ahn, Sungyong, Choi, Yoon-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146128/
https://www.ncbi.nlm.nih.gov/pubmed/35632235
http://dx.doi.org/10.3390/s22103826