Xiaoning Du
Orcid: 0000-0003-3728-9541Affiliations:
- Monash University, Clayton, VIC, Australia
- Nanyang Technological University, Singapore (PhD 2020)
According to our database1,
Xiaoning Du
authored at least 28 papers
between 2015 and 2024.
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Bibliography
2024
A Proactive and Dual Prevention Mechanism against Illegal Song Covers empowered by Singing Voice Conversion.
CoRR, 2024
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study.
CoRR, 2024
When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference.
CoRR, 2024
2023
CoRR, 2023
Proceedings of the 32nd USENIX Security Symposium, 2023
DistXplore: Distribution-Guided Testing for Evaluating and Enhancing Deep Learning Systems.
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
2022
Vulnerability Analysis, Robustness Verification, and Mitigation Strategy for Machine Learning-Based Power System Stability Assessment Model Under Adversarial Examples.
IEEE Trans. Smart Grid, 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
Characterizing Python Method Evolution with PyMevol: An Essential Step Towards Enabling Reliable Software Systems.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022
2021
IEEE Trans. Dependable Secur. Comput., 2021
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
PhD thesis, 2020
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020
Towards characterizing adversarial defects of deep learning software from the lens of uncertainty.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020
2019
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019
Leopard: identifying vulnerable code for vulnerability assessment through program metrics.
Proceedings of the 41st International Conference on Software Engineering, 2019
2018
Towards Building a Generic Vulnerability Detection Platform by Combining Scalable Attacking Surface Analysis and Directed Fuzzing.
Proceedings of the Formal Methods and Software Engineering, 2018
2015
Proceedings of the FM 2015: Formal Methods, 2015