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of 3
pro vyhledávání: '"Rakin, Abdullah"'
Adversarial attacks exploit the vulnerabilities of convolutional neural networks by introducing imperceptible perturbations that lead to misclassifications, exposing weaknesses in feature representations and decision boundaries. This paper presents a
Externí odkaz:
http://arxiv.org/abs/2412.19747
This paper explores the intricate relationship between interpretability and robustness in deep learning models. Despite their remarkable performance across various tasks, deep learning models often exhibit critical vulnerabilities, including suscepti
Externí odkaz:
http://arxiv.org/abs/2412.18952
Autor:
Talukder, Md. Simul Hasan, Chowdhury, Mohammad Raziuddin, Sourav, Md Sakib Ullah, Rakin, Abdullah Al, Shuvo, Shabbir Ahmed, Sulaiman, Rejwan Bin, Nipun, Musarrat Saberin, Islam, Muntarin, Islam, Mst Rumpa, Islam, Md Aminul, Haque, Zubaer
In certain Asian countries, Jute is one of the primary sources of income and Gross Domestic Product (GDP) for the agricultural sector. Like many other crops, Jute is prone to pest infestations, and its identification is typically made visually in cou
Externí odkaz:
http://arxiv.org/abs/2308.05179