Yubin Qu

Orcid: 0000-0001-5222-4020

According to our database1, Yubin Qu authored at least 23 papers between 2020 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill Ecosystems.
CoRR, April, 2026

A white-box prompt injection attack on embodied AI agents driven by large language models.
J. Syst. Softw., 2026

BADS: A backdoor attack against code intent summarization engines.
Inf. Softw. Technol., 2026

2025
BadCodePrompt: backdoor attacks against prompt engineering of large language models for code generation.
Autom. Softw. Eng., June, 2025

A Vulnerability Code Intent Summary Dataset.
CoRR, April, 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

Beyond Intentions: A Critical Survey of Misalignment in LLMs.
Comput. Mater. Continua, 2025

2024
A survey on robustness attacks for deep code models.
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

A Fine-Grained Emotion Prediction Method Based on Large Language Models.
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

Do we need to pay technical debt in blockchain software systems?
Connect. Sci., 2022

Can We Predict Student Performance Based on Tabular and Textual Data?
IEEE Access, 2022

CIL-BSP: Bug Report Severity Prediction based on Class Imbalanced Learning.
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

LAL: Meta-Active Learning-based Software Defect Prediction.
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


  Loading...