Advxai in Malware Analysis Framework: Balancing Explainability with Security

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Authors: Whitney E. Barringer
Cited by: 0

Abstract

With the increased use of Artificial Intelligence (AI) in malware analysis there is also an increased need to understand the decisions models make when identifying malicious artifacts. Explainable AI (XAI) becomes the answer to interpreting the decision-making process that AI malware analysis models use to determine malicious benign samples to gain trust that in a production environment, the system is able to catch malware. With any cyber innovation brings a new set of challenges and literature soon came out about XAI as a new attack vector.

Fields of Study & Subjects

Advanced Malware Detection Techniques Explainable Artificial Intelligence (XAI) Security and Verification in Computing

Publication details

Journal / source
International Journal on Soft Computing Artificial Intelligence and Applications
Publication date
14 January 2026