most citedCode-centric Learning-based Just-In-Time Vulnerability Detection

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2024

Generating Critical Scenarios for Testing Automated Driving Systems

Trung-Hieu Nguyen, Truong-Giang Vuong, Hong-Nam Duong +4

Autonomous vehicles (AVs) have demonstrated significant potential in revolutionizing transportation, yet ensuring their safety and reliability remains a critical challenge, especia…

cs.CR2024

Impact of Code Transformation on Detection of Smart Contract Vulnerabilities

Cuong Tran Manh, Hieu Dinh Vo

While smart contracts are foundational elements of blockchain applications, their inherent susceptibility to security vulnerabilities poses a significant challenge. Existing traini…

cs.SE2024

An Empirical Study on Capability of Large Language Models in Understanding Code Semantics

Thu-Trang Nguyen, Thanh Trong Vu, Hieu Dinh Vo +1

Large Language Models for Code (code LLMs) have demonstrated remarkable performance across various software engineering (SE) tasks, increasing the application of code LLMs in softw…

cs.SE2023

Silent Vulnerability-fixing Commit Identification Based on Graph Neural Networks

Hieu Dinh Vo, Thanh Trong Vu, Son Nguyen

The growing dependence of software projects on external libraries has generated apprehensions regarding the security of these libraries because of concealed vulnerabilities. Handli…

cs.SE2023

VFFINDER: A Graph-based Approach for Automated Silent Vulnerability-Fix Identification

Son Nguyen, Thanh Trong Vu, Hieu Dinh Vo

The increasing reliance of software projects on third-party libraries has raised concerns about the security of these libraries due to hidden vulnerabilities. Managing these vulner…

cs.SE20231 cited

ARIST: An Effective API Argument Recommendation Approach

Son Nguyen, Cuong Tran Manh, Kien T. Tran +4

Learning and remembering to use APIs are difficult. Several techniques have been proposed to assist developers in using APIs. Most existing techniques focus on recommending the rig…