Cargando…
Low-Pass Image Filtering to Achieve Adversarial Robustness
In this paper, we continue the research cycle on the properties of convolutional neural network-based image recognition systems and ways to improve noise immunity and robustness. Currently, a popular research area related to artificial neural networks is adversarial attacks. The adversarial attacks...
Autores principales: | Ziyadinov, Vadim, Tereshonok, Maxim |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675189/ https://www.ncbi.nlm.nih.gov/pubmed/38005420 http://dx.doi.org/10.3390/s23229032 |
Ejemplares similares
-
Noise Immunity and Robustness Study of Image Recognition Using a Convolutional Neural Network
por: Ziyadinov, Vadim, et al.
Publicado: (2022) -
Comparison of Low-Pass Filters for SPECT Imaging
por: Sayed, Inayatullah S., et al.
Publicado: (2020) -
Between-Class Adversarial Training for Improving Adversarial Robustness of Image Classification
por: Wang, Desheng, et al.
Publicado: (2023) -
Adversarial attacks and adversarial robustness in computational pathology
por: Ghaffari Laleh, Narmin, et al.
Publicado: (2022) -
The Filter-Passing Virus
Publicado: (1919)