activity
20242026
most citedDLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SE2026

APISENSOR: Robust Discovery of Web API from Runtime Traffic Logs

Yanjing Yang, Chenxing Zhong, Ke Han +5

Large Language Model (LLM)-based agents increasingly rely on APIs to operate complex web applications, but rapid evolution often leads to incomplete or inconsistent API documentati…

cs.CR2025

BacAlarm: Mining and Simulating Composite API Traffic to Prevent Broken Access Control Violations

Yanjing Yang, He Zhang, Bohan Liu +5

Broken Access Control (BAC) violations, which consistently rank among the top five security risks in the OWASP API Security Top 10, refer to unauthorized access attempts arising fr…

cs.SE2025

Leveraging Self-Paced Learning for Software Vulnerability Detection

Zeru Cheng, Yanjing Yang, He Zhang +5

Software vulnerabilities are major risks to software systems. Recently, researchers have proposed many deep learning approaches to detect software vulnerabilities. However, their a…

cs.SE2025

Enhancing the Accuracy and Comprehensibility in Architectural Tactics Detection via Small Model-Augmented Prompt Engineering

Lingli Cao, He Zhang, Shanshan Li +5

Architectural tactics (ATs), as the concrete implementation of architectural decisions in code, address non-functional requirements of software systems. Due to the implicit nature…

cs.SE2024★ 1 cited

DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection

Yanjing Yang, Xin Zhou, Runfeng Mao +5

Software vulnerability detection is generally supported by automated static analysis tools, which have recently been reinforced by deep learning (DL) models. However, despite the s…