4 citations · 13 across the 5 of their papers we have counts for
5 papers
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead
Xin Zhou, Sicong Cao, Xiaobing Sun +1
The significant advancements in Large Language Models (LLMs) have resulted in their widespread adoption across various tasks within Software Engineering (SE), including vulnerabili…
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems
Sicong Cao, Xiaobing Sun, Xiaoxue Wu +4
Recently, Graph Neural Network (GNN)-based vulnerability detection systems have achieved remarkable success. However, the lack of explainability poses a critical challenge to deplo…
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research
Sicong Cao, Xiaobing Sun, Ratnadira Widyasari +8
The remarkable achievements of Artificial Intelligence (AI) algorithms, particularly in Machine Learning (ML) and Deep Learning (DL), have fueled their extensive deployment across…
ODDFUZZ: Discovering Java Deserialization Vulnerabilities via Structure-Aware Directed Greybox Fuzzing
Sicong Cao, Biao He, Xiaobing Sun +9
Java deserialization vulnerability is a severe threat in practice. Researchers have proposed static analysis solutions to locate candidate vulnerabilities and fuzzing solutions to…
Improving Java Deserialization Gadget Chain Mining via Overriding-Guided Object Generation
Sicong Cao, Xiaobing Sun, Xiaoxue Wu +7
Java (de)serialization is prone to causing security-critical vulnerabilities that attackers can invoke existing methods (gadgets) on the application's classpath to construct a gadg…