Malware Classification and Defence Against Adversarial Attacks
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-6285-0_22
Reference13 articles.
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2. Liu L, Wang B, Yu B et al (2017) Automatic malware classification and new malware detection using machine learning. Frontiers Inf Technol Electron Eng 18:1336–1347
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4. H. Sayadi, N. Patel, S. M. P.D., A. Sasan, S. Rafatirad and H. Homayoun, ”Ensemble Learning for Effective Run-Time Hardware-Based Malware Detection: A Comprehensive Analysis and Classification,” 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC), San Francisco, CA, 2018, pp. 1-6
5. John, Kallivayalil TT, Tony (2019) Adversarial attacks and defenses in malware detection classifiers. https://doi.org/10.4018/978-1-5225-8407-0.ch007
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