30 citations · 35 across the 5 of their papers we have counts for
7 papers
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…
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…
Structuring a Comprehensive Software Security Course Around the OWASP Application Security Verification Standard
Sarah Elder, Nusrat Zahan, Val Kozarev +3
Lack of security expertise among software practitioners is a problem with many implications. First, there is a deficit of security professionals to meet current needs. Additionally…
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…
Sequential Model Optimization for Software Process Control
Tianpei Xia, Rui Shu, Xipeng Shen +1
Many methods have been proposed to estimate how much effort is required to build and maintain software. Much of that research assumes a ``classic'' waterfall-based approach rather…
How to Better Distinguish Security Bug Reports (using Dual Hyperparameter Optimization
Rui Shu, Tianpei Xia, Jianfeng Chen +2
Background: In order that the general public is not vulnerable to hackers, security bug reports need to be handled by small groups of engineers before being widely discussed. But l…