Yude Bai

According to our database1, Yude Bai authored at least 10 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
ArgusDroid: detecting Android malware variants by mining permission-API knowledge graph.
Sci. China Inf. Sci., September, 2023

2022
Detecting and Augmenting Missing Key Aspects in Vulnerability Descriptions.
ACM Trans. Softw. Eng. Methodol., 2022

Can Deep Learning Models Learn the Vulnerable Patterns for Vulnerability Detection?
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021
Comparative analysis of feature representations and machine learning methods in Android family classification.
Comput. Networks, 2021

A Character-Level Convolutional Neural Network for Predicting Exploitability of Vulnerability.
Proceedings of the International Symposium on Theoretical Aspects of Software Engineering, 2021

Predicting Entity Relations across Different Security Databases by Using Graph Attention Network.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

Key Aspects Augmentation of Vulnerability Description based on Multiple Security Databases.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020
Unsuccessful story about few shot malware family classification and siamese network to the rescue.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

A Knowledge Graph-based Sensitive Feature Selection for Android Malware Classification.
Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019
A Co-Occurrence Recommendation Model of Software Security Requirement.
Proceedings of the 2019 International Symposium on Theoretical Aspects of Software Engineering, 2019


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