Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables

Bojan Kolosnjaji, Ambra Demontis, Battista Biggio +4

Machine-learning methods have already been exploited as useful tools for detecting malicious executable files. They leverage data retrieved from malware samples, such as header fie…