83 citations · 105 across the 2 of their papers we have counts for
2 papers
cs.CR2022★ 83 cited
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification
Daniel Gibert, Carles Mateu, Jordi Planes +1
Machine learning has become an appealing signature-less approach to detect and classify malware because of its ability to generalize to never-before-seen samples and to handle larg…
cs.CR2021★ 22 cited
Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning
Daniel Gibert, Matt Fredrikson, Carles Mateu +2
Current state-of-the-art research for tackling the problem of malware detection and classification is centered on the design, implementation and deployment of systems powered by ma…