A Distributed Black-Box Adversarial Attack Based on Multi-Group Particle Swarm Optimization

Adversarial attack techniques in deep learning have been studied extensively due to its stealthiness to human eyes and potentially dangerous consequences when applied to real-life applications. However, current attack methods in black-box settings mainly employ a large number of queries for crafting...

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Detalles Bibliográficos
Autores principales: Suryanto, Naufal, Kang, Hyoeun, Kim, Yongsu, Yun, Youngyeo, Larasati, Harashta Tatimma, Kim, Howon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765002/
https://www.ncbi.nlm.nih.gov/pubmed/33327453
http://dx.doi.org/10.3390/s20247158

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765002/
https://www.ncbi.nlm.nih.gov/pubmed/33327453
http://dx.doi.org/10.3390/s20247158

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