2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CR2022
Multifamily Malware Models
Samanvitha Basole, Fabio Di Troia, Mark Stamp
When training a machine learning model, there is likely to be a tradeoff between accuracy and the diversity of the dataset. Previous research has shown that if we train a model to…
cs.CR2021★ 2 cited
Malware Classification Using Long Short-Term Memory Models
Dennis Dang, Fabio Di Troia, Mark Stamp
Signature and anomaly based techniques are the quintessential approaches to malware detection. However, these techniques have become increasingly ineffective as malware has become…
cs.CR2021
Malware Classification with Word Embedding Features
Aparna Sunil Kale, Fabio Di Troia, Mark Stamp
Malware classification is an important and challenging problem in information security. Modern malware classification techniques rely on machine learning models that can be trained…