Deep Multi-Task Learning for Malware Image Classification.

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Deep Multi-Task Learning for Malware Image Classification - arXiv

May 9, 2024 · A novel multi-task learning framework is proposed in this paper for malware image classification for accurate and fast malware detection.

Deep multi-task learning for malware image classification - ScienceDirect

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A novel multi-task learning framework is proposed in this paper for malware image classification for accurate and fast malware detection.

Scholarly articles for Deep Multi-Task Learning for Malware Image Classification.

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… multi-task learning for malware image classification
Bensaoud · Cited by 37

Deep multi-task learning for malware image classification

dl.acm.org › doi › j.jisa.2021.103057

We generate bitmap (BMP) and (PNG) images from malware features, which we feed to a deep learning classifier. Our state-of-the-art multi-task learning approach ...

Deep multi-task learning for malware image classification - ResearchGate

www.researchgate.net › ... › Malware

Oct 22, 2024 · Bensaoud and Kalita (2022) proposed a novel deep learning method for classifying malware images for effective and efficient malware detection.

[PDF] Deep multi-task learning for malware image classification

www.semanticscholar.org › paper

The proposed MalSSL, a self-supervised learning-based method utilizing image representation to classify malware, accurately classifies malware without the ...

Deep Multi-Task Learning for Malware Image Classification - Paper Detail

deeplearn.org › arxiv › deep-multi-task-l...

May 9, 2024 · We generate bitmap (BMP) and (PNG)images from malware features, which we feed to a deep learning classifier. Ourstate-of-the-art multi-task ...

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Deep multi-task learning for malware image classification - OUCI

ouci.dntb.gov.ua › works

Nataraj L, Karthikeyan S, Jacob G, Manjunath BS. Malware images: Visualization and automatic classification. In: Proceedings of the 8th international symposium ...

‪Ahmed Bensaoud, Ph.D‬ - ‪Google Scholar‬

scholar.google.com › citations

Deep multi-task learning for malware image classification. A Bensaoud, J Kalita. Journal of Information Security and Applications 64, 103057, 2022. 37, 2022. A ...

Deep Multi-Task Learning for Malware Image Classification - AIModels.fyi

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May 9, 2024 · Novel multi-task learning framework for malware image classification; Generates bitmap (BMP) and PNG images from malware features and feeds ...

A Survey of Malware Detection Using Deep Learning - arXiv

arxiv.org › cs

Jul 27, 2024 · This paper aims to investigate recent advances in malware detection on MacOS, Windows, iOS, Android, and Linux using deep learning (DL)