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 classifiers. making them ineffective against these crafted and smart malicious software. https://www.ngetikin.com/