Tailoring adversarial attacks on deep neural networks for targeted class manipulation using DeepFool algorithm

Tailoring adversarial attacks on deep neural networks for targeted class manipulation using DeepFool algorithm

Abstract The susceptibility of deep neural networks (DNNs) to adversarial attacks undermines their reliability across numerous applications, underscoring the necessity for an in-depth exploration of these vulnerabilities and the formulation of robust defense strategies. The DeepFool algorithm by Moo...

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Bibliographic Details
Main Authors: S. M. Fazle Rabby Labib, Joyanta Jyoti Mondal, Meem Arafat Manab, Xi Xiao, Sarfaraz Newaz
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Adversarial attack
Image classification
Deep neural network
Online Access:https://doi.org/10.1038/s41598-025-87405-w
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https://doi.org/10.1038/s41598-025-87405-w

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