A Survey on Adversarial Attacks for Malware Analysis
Machine learning-based malware analysis approaches are widely researched and deployed in critical infrastructures for detecting and classifying evasive and growing malware threats. However, minor perturbations or ineffectual byte insertions can easily ‘fool’ these trained ML cl...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10806701/ |
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