2 papers
cs.CR2025
Through the Static: Demystifying Malware Visualization via Explainability
Matteo Brosolo, Vinod Puthuvath, Mauro Conti
Security researchers grapple with the surge of malicious files, necessitating swift identification and classification of malware strains for effective protection. Visual classifier…
cs.CR2025
The Road Less Traveled: Investigating Robustness and Explainability in CNN Malware Detection
Matteo Brosolo, Vinod Puthuvath, Mauro Conti
Machine learning has become a key tool in cybersecurity, improving both attack strategies and defense mechanisms. Deep learning models, particularly Convolutional Neural Networks (…