25 citations · 35 across the 5 of their papers we have counts for
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3 papers · 1 filter
cs.LG2019★ 2 cited
Privacy Preserving Adjacency Spectral Embedding on Stochastic Blockmodels
Li Chen
For graphs generated from stochastic blockmodels, adjacency spectral embedding is asymptotically consistent. Further, adjacency spectral embedding composed with universally consist…
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…