Jul 2026
Adversarial Malware Can Be Both Evasive and Deceiving: a Gradient-based Attack Against Prediction and Explainability in Windows PE Malware Detection
In the last years, several gradient-based attacks have been developed to disclose vulnerabilities of deep neural models and strengthen evasion and transferability abilities of adversarial examples created in various domains. In Windows PE malware detection, various gradient-based methods have been recently tested to op...
Luca Lobascio, Giuseppina Andresini, A. Appice et al.
· 2026 IEEE European Symposium... · 0 citations