30 citations · 39 across the 12 of their papers we have counts for
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cs.CR2022★ 1 cited
Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning)
Rui Shu, Tianpei Xia, Huy Tu +2
Background: Most of the existing machine learning models for security tasks, such as spam detection, malware detection, or network intrusion detection, are built on supervised mach…
cs.CR2022★ 1 cited
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue
Rui Shu, Tianpei Xia, Laurie Williams +1
Background: Machine learning techniques have been widely used and demonstrate promising performance in many software security tasks such as software vulnerability prediction. Howev…
cs.CR2020★ 3 cited
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack
Rui Shu, Tianpei Xia, Laurie Williams +1
Background: Machine learning-based security detection models have become prevalent in modern malware and intrusion detection systems. However, previous studies show that such model…