Sicong Cao

Orcid: 0000-0003-3688-4437

According to our database1, Sicong Cao authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Hierarchy-Aware Representation Learning for Industrial IoT Vulnerability Classification.
IEEE Trans. Ind. Informatics, October, 2024

EXVul: Toward Effective and Explainable Vulnerability Detection for IoT Devices.
IEEE Internet Things J., June, 2024

Learning to Detect Memory-related Vulnerabilities.
ACM Trans. Softw. Eng. Methodol., February, 2024

Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead.
CoRR, 2024

A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research.
CoRR, 2024

Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
ODDFuzz: Discovering Java Deserialization Vulnerabilities via Structure-Aware Directed Greybox Fuzzing.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Improving Java Deserialization Gadget Chain Mining via Overriding-Guided Object Generation.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
SPVF: security property assisted vulnerability fixing via attention-based models.
Empir. Softw. Eng., 2022

MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
A comprehensive study on security bug characteristics.
J. Softw. Evol. Process., 2021

<i>BGNN4VD</i>: Constructing Bidirectional Graph Neural-Network for Vulnerability Detection.
Inf. Softw. Technol., 2021

GrasP: Graph-to-Sequence Learning for Automated Program Repair.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021


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