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Xiaoning Du
Xiaoning Du
Lecturer (a.k.a. Assistant Professor), Monash University
Dirección de correo verificada de monash.edu - Página principal
Título
Citado por
Citado por
Año
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Y Zhou, S Liu, J Siow, X Du, Y Liu
https://arxiv.org/abs/1909.03496, 2019
8812019
Who is real bob? adversarial attacks on speaker recognition systems
G Chen, S Chenb, L Fan, X Du, Z Zhao, F Song, Y Liu
2021 IEEE Symposium on Security and Privacy (SP), 694-711, 2021
2282021
Deepstellar: Model-based quantitative analysis of stateful deep learning systems
X Du, X Xie, Y Li, L Ma, Y Liu, J Zhao
Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019
209*2019
Leopard: Identifying vulnerable code for vulnerability assessment through program metrics
X Du, B Chen, Y Li, J Guo, Y Zhou, Y Liu, Y Jiang
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
1192019
Towards characterizing adversarial defects of deep learning software from the lens of uncertainty
X Zhang, X Xie, L Ma, X Du, Q Hu, Y Liu, J Zhao, M Sun
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
872020
Coprotector: Protect open-source code against unauthorized training usage with data poisoning
Z Sun, X Du, F Song, M Ni, L Li
Proceedings of the ACM Web Conference 2022, 652-660, 2022
642022
On the importance of building high-quality training datasets for neural code search
Z Sun, L Li, Y Liu, X Du, L Li
Proceedings of the 44th International Conference on Software Engineering …, 2022
602022
Vulnerability analysis, robustness verification, and mitigation strategy for machine learning-based power system stability assessment model under adversarial examples
C Ren, X Du, Y Xu, Q Song, Y Liu, R Tan
IEEE Transactions on Smart Grid 13 (2), 1622-1632, 2021
272021
{FuzzJIT}:{Oracle-Enhanced} Fuzzing for {JavaScript} Engine {JIT} Compiler
J Wang, Z Zhang, S Liu, X Du, J Chen
32nd USENIX Security Symposium (USENIX Security 23), 1865-1882, 2023
232023
Decision-guided weighted automata extraction from recurrent neural networks
X Zhang, X Du, X Xie, L Ma, Y Liu, M Sun
Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11699 …, 2021
222021
Marble: Model-based robustness analysis of stateful deep learning systems
X Du, Y Li, X Xie, L Ma, Y Liu, J Zhao
Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020
222020
A quantitative analysis framework for recurrent neural network
X Du, X Xie, Y Li, L Ma, Y Liu, J Zhao
2019 34th IEEE/ACM International Conference on Automated Software …, 2019
162019
Trace-length independent runtime monitoring of quantitative policies in LTL
X Du, Y Liu, A Tiu
FM 2015: Formal Methods: 20th International Symposium, Oslo, Norway, June 24 …, 2015
152015
Codemark: Imperceptible watermarking for code datasets against neural code completion models
Z Sun, X Du, F Song, L Li
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
142023
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
Z Sun, X Du, F Song, S Wang, M Ni, L Li
2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023
132023
Data augmentation approaches for source code models: A survey
TY Zhuo, Z Yang, Z Sun, Y Wang, L Li, X Du, Z Xing, D Lo
arXiv preprint arXiv:2305.19915, 2023
92023
Trace-length independent runtime monitoring of quantitative policies
X Du, A Tiu, K Cheng, Y Liu
IEEE Transactions on Dependable and Secure Computing 18 (3), 1489-1510, 2019
82019
When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference
Z Sun, X Du, F Song, S Wang, L Li
Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024
62024
Contrastrepair: Enhancing conversation-based automated program repair via contrastive test case pairs
J Kong, M Cheng, X Xie, S Liu, X Du, Q Guo
arXiv preprint arXiv:2403.01971, 2024
62024
DistXplore: Distribution-guided testing for evaluating and enhancing deep learning systems
L Wang, X Xie, X Du, M Tian, Q Guo, Z Yang, C Shen
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
42023
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