Deep Learning models demonstrated high accuracies performance in malware classification, but they are still lacking "explainability"to ensure robustness and reliability in the generated prediction. In this short contribution, we summarize the researches that we conducted in the latest years in the Malware Analysis field.
Designing Robust Deep Learning Classifiers for Image-based Malware Analysis
Martinelli Fabio;
2022
Abstract
Deep Learning models demonstrated high accuracies performance in malware classification, but they are still lacking "explainability"to ensure robustness and reliability in the generated prediction. In this short contribution, we summarize the researches that we conducted in the latest years in the Malware Analysis field.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
