Zhensu Sun

Orcid: 0000-0001-5393-7858

According to our database1, Zhensu Sun authored at least 15 papers between 2020 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Reversible Jump Attack to Textual Classifiers with Modification Reduction.
CoRR, 2024

Robustness, Security, Privacy, Explainability, Efficiency, and Usability of Large Language Models for Code.
CoRR, 2024

When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference.
CoRR, 2024

2023
Two Birds with One Stone: Boosting Code Generation and Code Search via a Generative Adversarial Network.
Proc. ACM Program. Lang., October, 2023

Data Augmentation Approaches for Source Code Models: A Survey.
CoRR, 2023

Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process.
CoRR, 2023

Natural Language to Code: How Far Are We?
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

CodeMark: Imperceptible Watermarking for Code Datasets against Neural Code Completion Models.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

Fraud's Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning to Prevent Profitless Neural Code Completion.
CoRR, 2022

CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

On the Importance of Building High-quality Training Datasets for Neural Code Search.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2020
PSCS: A Path-based Neural Model for Semantic Code Search.
CoRR, 2020

Req2Lib: A Semantic Neural Model for Software Library Recommendation.
Proceedings of the 27th IEEE International Conference on Software Analysis, 2020


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