Unleashing the Adversarial Facet of Software Debloating. (arXiv:2309.08058v1 [cs.CR])

Software debloating techniques are applied to craft a specialized version of
the program based on the user's requirements and remove irrelevant code
accordingly. The debloated programs presumably maintain better performance and
reduce the attack surface in contrast to the original programs. This work
unleashes the effectiveness of applying software debloating techniques on the
robustness of machine learning systems in the malware classification domain. We
empirically study how an adversarial can leverage software debloating
techniques to mislead machine learning malware classification …

adversarial attack attack surface code facet performance program remove requirements software techniques version work