FRNet: A Feature-Rich CNN Architecture to Defend Against Adversarial Attacks

Adversarial attacks that are possible in natural images are also transferable to medical images, paralyzing the diagnostic process and threatening the robustness of underlying Convolutional Neural Network (CNN) based classifiers. In this work, we have first demonstrated the effectiveness of well-kno...

Descripció completa

Dades bibliogràfiques

Autors principals:	Neha A S, Vivek Chaturvedi, Muhammad Shafique
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Adversarial attack defense mechanism malaria cell images medical images neural network
Accés en línia:	https://ieeexplore.ieee.org/document/10431780/
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!