FAME
Published:
FAME has been designed to evaluate ML-based malware classifiers against adversarial examples. It aims to provide understanding on how byte-level transformations can be injected into Windows Portable Executable (PE) files and compromise models. Moreover, it supports integrity verification to ensure that the adversarial examples remain valid after manipulation.
Download: pip install famework