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...

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Bibliographic Details

Main Authors:	Neha A S, Vivek Chaturvedi, Muhammad Shafique
Format:	Artigo
Language:	Inglês
Published:	IEEE 2024-01-01
Series:	IEEE Access
Subjects:	Adversarial attack defense mechanism malaria cell images medical images neural network
Online Access:	https://ieeexplore.ieee.org/document/10431780/
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