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20222025
most citedMVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks

110 citations · 123 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CR2025

MalGuard: Towards Real-Time, Accurate, and Actionable Detection of Malicious Packages in PyPI Ecosystem

Xingan Gao, Xiaobing Sun, Sicong Cao +5

Malicious package detection has become a critical task in ensuring the security and stability of the PyPI. Existing detection approaches have focused on advancing model selection,…

cs.CR2024★ 1 cited

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…

cs.CR2023★ 3 cited

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…

cs.CR2023★ 2 cited

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…

cs.CR2022★ 110 cited

MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks

Sicong Cao, Xiaobing Sun, Lili Bo +3

Memory-related vulnerabilities constitute severe threats to the security of modern software. Despite the success of deep learning-based approaches to generic vulnerability detectio…