Yubin Qu
Orcid: 0000-0001-5222-4020
According to our database1,
Yubin Qu authored at least 23 papers
between 2020 and 2026.
Collaborative distances:
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Timeline
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Bibliography
2026
CoRR, April, 2026
A white-box prompt injection attack on embodied AI agents driven by large language models.
J. Syst. Softw., 2026
Inf. Softw. Technol., 2026
2025
BadCodePrompt: backdoor attacks against prompt engineering of large language models for code generation.
Autom. Softw. Eng., June, 2025
A Simple Yet Practical Backdoor Prompt Attack Against Black-Box Code Summarization Engines.
J. Softw. Evol. Process., 2025
Improving distributed learning-based vulnerability detection via multi-modal prompt tuning.
J. Syst. Softw., 2025
A review of backdoor attacks and defenses in code large language models: Implications for security measures.
Inf. Softw. Technol., 2025
An input-denoising-based defense against stealthy backdoor attacks in large language models for code.
Inf. Softw. Technol., 2025
Comput. Mater. Continua, 2025
2024
Autom. Softw. Eng., November, 2024
Detection of backdoor attacks using targeted universal adversarial perturbations for deep neural networks.
J. Syst. Softw., January, 2024
CriticalFuzz: A critical neuron coverage-guided fuzz testing framework for deep neural networks.
Inf. Softw. Technol., 2024
Reliability Evaluation of Classroom Teaching with MCI in College Based on the DFT Model.
Proceedings of the 24th IEEE International Conference on Software Quality, 2024
Proceedings of the 24th IEEE International Conference on Software Quality, 2024
2022
Empirical Research for Self-Admitted Technical Debt Detection in Blockchain Software Projects.
Int. J. Perform. Eng., 2022
IEEE Access, 2022
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022
2020
Do different cross-project defect prediction methods identify the same defective modules?
J. Softw. Evol. Process., 2020
Int. J. Perform. Eng., 2020
Active Learning Empirical Research on Cross-Version Software Defect Prediction Datasets.
Int. J. Perform. Eng., 2020
Empirical Evaluation on the Impact of Class Overlap for EEG-Based Early Epileptic Seizure Detection.
IEEE Access, 2020