Distilled and Contextualized Neural Models Benchmarked for Vulnerable Function Detection

Distilled and Contextualized Neural Models Benchmarked for Vulnerable Function Detection

Detecting vulnerabilities in programs is an important yet challenging problem in cybersecurity. The recent advancement in techniques of natural language understanding enables the data-driven research on automated code analysis to embrace Pre-trained Contextualized Models (PCMs). These models are pre...

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Bibliographic Details
Main Authors: Guanjun Lin, Heming Jia, Di Wu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Mathematics
Subjects:
pre-trained contextualized embedding
function-level
vulnerability detection
model compression
knowledge distillation
Online Access:https://www.mdpi.com/2227-7390/10/23/4482

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