Annalisa Appice

Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection

Muhammad Imran, Annalisa Appice, Donato Malerba

During the last decade, the cybersecurity literature has conferred a high-level role to machine learning as a powerful security paradigm to recognise malicious software in modern anti-malware systems. However, a non-negligible limitation of machine learning methods used to train…Read more