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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
2472019
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
129*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
992021
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
562019
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
2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE …, 2020
512020
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
International Symposium on Formal Methods, 231-247, 2015
112015
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
Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks.
X Zhang, X Du, X Xie, L Ma, Y Liu, M Sun
AAAI, 11699-11707, 2021
92021
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
72022
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
42022
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
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
22021
Towards Building a Generic Vulnerability Detection Platform by Combining Scalable Attacking Surface Analysis and Directed Fuzzing
X Du
International Conference on Formal Engineering Methods, 464-468, 2018
22018
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
FuzzJIT: Oracle-Enhanced Fuzzing for JavaScript Engine JIT Compiler
J Wang, Z Zhang, S Liu, X Du, J Chen
Towards secure and robust stateful deep learning systems with model‑based analysis
X Du
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