Advances in Adversarial Attacks and Defenses in Computer Vision: A Survey
Deep Learning is the most widely used tool in the contemporary field of computer vision. Its ability to accurately solve complex problems is employed in vision research to learn deep neural models for a variety of tasks, including security critical applications. However, it is now known that deep le...
Guardado en:
Autores principales: | Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e42f524a20ca4b5192c3b0da7c72e541 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Adversarial Attack for SAR Target Recognition Based on UNet-Generative Adversarial Network
por: Chuan Du, et al.
Publicado: (2021) -
Adversarial attacks on deep learning models in smart grids
por: Jingbo Hao, et al.
Publicado: (2022) -
Textual Adversarial Attacking with Limited Queries
por: Yu Zhang, et al.
Publicado: (2021) -
Multi-Targeted Adversarial Example in Evasion Attack on Deep Neural Network
por: Hyun Kwon, et al.
Publicado: (2018) -
Restricted Evasion Attack: Generation of Restricted-Area Adversarial Example
por: Hyun Kwon, et al.
Publicado: (2019)