Jason (Minhui) Xue
Jason (Minhui) Xue
Other namesMinhui Xue
Senior Research Scientist, CSIRO's Data61
Verified email at - Homepage
Cited by
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DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
L Ma, F Juefei-Xu, F Zhang, J Sun, M Xue, B Li, C Chen, T Su, L Li, Y Liu, ...
arXiv preprint arXiv:1803.07519, 2018
Deephunter: a coverage-guided fuzz testing framework for deep neural networks
X Xie, L Ma, F Juefei-Xu, M Xue, H Chen, Y Liu, J Zhao, B Li, J Yin, S See
Proceedings of the 28th ACM SIGSOFT International Symposium on Software …, 2019
Deepmutation: Mutation testing of deep learning systems
L Ma, F Zhang, J Sun, M Xue, B Li, F Juefei-Xu, C Xie, L Li, Y Liu, J Zhao, ...
2018 IEEE 29th international symposium on software reliability engineering …, 2018
Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization
S Li, M Xue, BZH Zhao, H Zhu, X Zhang
arXiv preprint arXiv:1909.02742, 2020
Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach
S Chen, M Xue, L Fan, S Hao, L Xu, H Zhu, B Li
computers & security 73, 326-344, 2018
Stormdroid: A streaminglized machine learning-based system for detecting android malware
S Chen, M Xue, Z Tang, L Xu, H Zhu
Proceedings of the 11th ACM on Asia Conference on Computer and …, 2016
Deepct: Tomographic combinatorial testing for deep learning systems
L Ma, F Juefei-Xu, M Xue, B Li, L Li, Y Liu, J Zhao
2019 IEEE 26th International Conference on Software Analysis, Evolution and …, 2019
An Empirical Assessment of Global COVID-19 Contact Tracing Applications
R Sun, W Wang, M Xue, G Tyson, S Camtepe, D Ranasinghe
arXiv preprint arXiv:2006.10933, 2020
Hidden backdoors in human-centric language models
S Li, H Liu, T Dong, BZH Zhao, M Xue, H Zhu, J Lu
Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021
Combinatorial testing for deep learning systems
L Ma, F Zhang, M Xue, B Li, Y Liu, J Zhao, Y Wang
arXiv preprint arXiv:1806.07723, 2018
An Empirical Assessment of Security Risks of Global Android Banking Apps
S Chen, L Fan, G Meng, T Su, M Xue, Y Xue, Y Liu, L Xu
ACM ICSE 2020, 2020
Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference
X Feng, R Sun, X Zhu, M Xue, S Wen, D Liu, S Nepal, Y Xiang
arXiv preprint arXiv:2105.05445, 2021
Differentially Private Data Generative Models
Q Chen, C Xiang, M Xue, B Li, N Borisov, MA Kaafar, H Zhu, 2018
Are Mobile Banking Apps Secure? What Can Be Improved?
S Chen, T Su, L Fan, G Meng, M Xue, Y Liu, L Xu
In Proceedings of the 26th ACM Joint European Software Engineering …, 2018
Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks
H Zheng, M Xue, H Lu, S Hao, H Zhu, X Liang, K Ross
Proceedings of Internet Society Symposium on Network and Distributed System …, 2018
Explainability-based Backdoor Attacks Against Graph Neural Networks
J Xu, M Xue, S Picek
arXiv preprint arXiv:2104.03674, 2021
Coverage-guided fuzzing for deep neural networks
X Xie, L Ma, F Juefei-Xu, H Chen, M Xue, B Li, Y Liu, J Zhao, J Yin, S See
arXiv preprint arXiv:1809.01266 3, 2018
GUI-squatting attack: Automated generation of Android phishing apps
S Chen, L Fan, C Chen, M Xue, Y Liu, L Xu
IEEE Transactions on Dependable and Secure Computing 18 (6), 2551-2568, 2019
The right to be forgotten in the media: A data-driven study
M Xue, G Magno, E Cunha, V Almeida, KW Ross
Proceedings on Privacy Enhancing Technologies, 2016
Fingerprinting deep neural networks globally via universal adversarial perturbations
Z Peng, S Li, G Chen, C Zhang, H Zhu, M Xue
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
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