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Wei Huang
Wei Huang
Purple Mountain Laboratories
Verified email at pmlabs.com.cn - Homepage
Title
Cited by
Cited by
Year
Baylime: Bayesian local interpretable model-agnostic explanations
X Zhao, W Huang, X Huang, V Robu, D Flynn
Uncertainty in artificial intelligence, 887-896, 2021
772021
Coverage-guided testing for recurrent neural networks
W Huang, Y Sun, X Zhao, J Sharp, W Ruan, J Meng, X Huang
IEEE Transactions on Reliability 71 (3), 1191-1206, 2021
52*2021
Enhancing Adversarial Training with Second-Order Statistics of Weights
G Jin, X Yi, W Huang, S Schewe, X Huang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
462022
A survey of safety and trustworthiness of large language models through the lens of verification and validation
X Huang, W Ruan, W Huang, G Jin, Y Dong, C Wu, S Bensalem, R Mu, ...
arXiv preprint arXiv:2305.11391, 2023
322023
Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles
X Zhao, W Huang, A Banks, V Cox, D Flynn, S Schewe, X Huang
AISafety'21: Workshop on AI Safety at IJCAI-21, 2021
30*2021
Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance
Y Dong, W Huang, V Bharti, V Cox, A Banks, S Wang, X Zhao, S Schewe, ...
ACM Transactions on Embedded Computing Systems, 2021
18*2021
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability
W Huang, X Zhao, G Jin, X Huang
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
142023
Embedding and extraction of knowledge in tree ensemble classifiers
W Huang, X Zhao, X Huang
Machine Learning 111 (5), 1925-1958, 2022
112022
Detecting operational adversarial examples for reliable deep learning
X Zhao, W Huang, S Schewe, Y Dong, X Huang
2021 51st Annual IEEE/IFIP International Conference on Dependable Systems …, 2021
112021
A Hierarchical HAZOP-Like Safety Analysis for Learning-Enabled Systems
Y Qi, PR Conmy, W Huang, X Zhao, X Huang
AISafety'22: Workshop on AI Safety at IJCAI-22, 2022
82022
Hierarchical Distribution-Aware Testing of Deep Learning
W Huang, X Zhao, A Banks, V Cox, X Huang
ACM Transactions on Software Engineering and Methodology, 2023
72023
Tutorials on testing neural networks
N Berthier, Y Sun, W Huang, Y Zhang, W Ruan, X Huang
arXiv preprint arXiv:2108.01734, 2021
72021
Practical verification of neural network enabled state estimation system for robotics
W Huang, Y Zhou, Y Sun, J Sharp, S Maskell, X Huang
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
72020
Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems
W Huang, Y Zhou, G Jin, Y Sun, F Zhang, X Huang
arXiv preprint arXiv:2010.08311, 2020
6*2020
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems
S Bensalem, CH Cheng, W Huang, X Huang, C Wu, X Zhao
ISoLA'23: Int. Symp. on Leveraging Applications of Formal Methods …, 2023
42023
A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System
X Yuan, S Han, W Huang, H Ye, X Kong, F Zhang
Computers & Security, 2023
12023
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models
K Zhao, X Chen, Y Yu, X Kong, F Zhang, W Huang
2024 International Joint Conference on Neural Networks (IJCNN), 2024
2024
Verification and Validation of Machine Learning Safety in Learning-Enabled Autonomous Systems
W Huang
PQDT-Global, 2023
2023
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