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Xiaoning Du
Xiaoning Du
Lecturer (a.k.a. Assistant Professor), Monash University
Verified email at monash.edu - Homepage
Title
Cited by
Cited by
Year
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
2832019
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
137*2019
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
1062021
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
592019
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
552020
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
122021
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
122020
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
112015
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
102022
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
102019
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
72022
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
52021
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
32019
Towards building a generic vulnerability detection platform by combining scalable attacking surface analysis and directed fuzzing
X Du
Formal Methods and Software Engineering: 20th International Conference on …, 2018
22018
Characterizing Python Method Evolution with PyMevol: An Essential Step Towards Enabling Reliable Software Systems
H Quan, J Wang, B Li, X Du, K Liu, L Li
2022 IEEE International Symposium on Software Reliability Engineering …, 2022
2022
Learning to Prevent Profitless Neural Code Completion
Z Sun, X Du, F Song, S Wang, M Ni, L Li
arXiv preprint arXiv:2209.05948, 2022
2022
Marvel: a generic, scalable and effective vulnerability detection platform
X Du
2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019
2019
Towards secure and robust stateful deep learning systems with model-based analysis
X Du
Nanyang Technological University, 2019
2019
FuzzJIT: Oracle-Enhanced Fuzzing for JavaScript Engine JIT Compiler
J Wang, Z Zhang, S Liu, X Du, J Chen
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Articles 1–19