- Article
Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection
- Muhammad Imran,
- Annalisa Appice and
- 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 l...

