25 citations · 35 across the 5 of their papers we have counts for
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3 papers · 1 filter
cs.CR2019★ 1 cited
To believe or not to believe: Validating explanation fidelity for dynamic malware analysis
Li Chen, Carter Yagemann, Evan Downing
Converting malware into images followed by vision-based deep learning algorithms has shown superior threat detection efficacy compared with classical machine learning algorithms. W…
cs.CR2019★ 3 cited
Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions
Li Chen
My research lies in the intersection of security and machine learning. This overview summarizes one component of my research: combining computer vision with malware exploit detecti…
cs.CR2018★ 4 cited
HeNet: A Deep Learning Approach on Intel Processor Trace for Effective Exploit Detection
Li Chen, Salmin Sultana, Ravi Sahita
This paper presents HeNet, a hierarchical ensemble neural network, applied to classify hardware-generated control flow traces for malware detection. Deep learning-based malware det…