237 citations · 354 across the 11 of their papers we have counts for
11 papers
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…
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…
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…
Deep Transfer Learning for Static Malware Classification
Li Chen
We propose to apply deep transfer learning from computer vision to static malware classification. In the transfer learning scheme, we borrow knowledge from natural images or object…
Towards resilient machine learning for ransomware detection
Li Chen, Chih-Yuan Yang, Anindya Paul +1
There has been a surge of interest in using machine learning (ML) to automatically detect malware through their dynamic behaviors. These approaches have achieved significant improv…
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen +3
Adversarial machine learning research has recently demonstrated the feasibility to confuse automatic speech recognition (ASR) models by introducing acoustically imperceptible pertu…