5 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CR2021★ 1 cited
A novel DL approach to PE malware detection: exploring Glove vectorization, MCC_RCNN and feature fusion
Yuzhou Lin
In recent years, malware becomes more threatening. Concerning the increasing malware variants, there comes Machine Learning (ML)-based and Deep Learning (DL)-based approaches for h…
cs.CR2021★ 5 cited
Towards interpreting ML-based automated malware detection models: a survey
Yuzhou Lin, Xiaolin Chang
Malware is being increasingly threatening and malware detectors based on traditional signature-based analysis are no longer suitable for current malware detection. Recently, the mo…
cs.LG2021★ 4 cited
Towards Interpretable Ensemble Learning for Image-based Malware Detection
Yuzhou Lin, Xiaolin Chang
Deep learning (DL) models for image-based malware detection have exhibited their capability in producing high prediction accuracy. But model interpretability is posing challenges t…