| 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, ... Artificial Intelligence Review, 2023 | 53 | 2023 |
| Enhancing adversarial training with second-order statistics of weights G Jin, X Yi, W Huang, S Schewe, X Huang CVPR 2022, 2022 | 50 | 2022 |
| How does weight correlation affect the generalisation ability of deep neural networks G Jin, X Yi, L Zhang, L Zhang, S Schewe, X Huang NeurIPS 2020, 2020 | 43 | 2020 |
| Machine Learning Safety X Huang, G Jin, W Ruan Machine Learning Safety, 3-13, 2023 | 29* | 2023 |
| SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability W Huang, X Zhao, G Jin, X Huang ICCV 2023, 2023 | 17 | 2023 |
| Randomized Adversarial Training via Taylor Expansion G Jin, X Yi, D Wu, R Mu, X Huang CVPR 2023, 2023 | 16 | 2023 |
| Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning R Mu, W Ruan, LS Marcolino, G Jin, Q Ni AAAI 2023, 2022 | 10 | 2022 |
| Building Guardrails for Large Language Models Y Dong*, R Mu*, G Jin, Y Qi, J Hu, X Zhao, J Meng, W Ruan, X Huang ICML 2024 (Position Paper), 2024 | 5 | 2024 |
| Formal verification of robustness and resilience of learning-enabled state estimation systems for robotics W Huang, Y Zhou, G Jin, Y Sun, A Banks, J Meng, J Sharp, S Maskell, ... Neurocomputing, 2024 | 5* | 2024 |
| Weight expansion: A new perspective on dropout and generalization G Jin, X Yi, P Yang, L Zhang, S Schewe, X Huang TMLR, 2022 | 5 | 2022 |
| Optimising event-driven spiking neural network with regularisation and cutoff D Wu, G Jin, H Yu, X Yi, X Huang arXiv preprint arXiv:2301.09522, 2023 | 3 | 2023 |
| Safeguarding Large Language Models: A Survey Y Dong, R Mu, Y Zhang, S Sun, T Zhang, C Wu, G Jin, Y Qi, J Hu, J Meng, ... arXiv preprint arXiv:2406.02622, 2024 | 2 | 2024 |
| TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models L Zhang, N Xu, P Yang, G Jin, CC Huang, L Zhang ICCV 2023, 2023 | 1 | 2023 |
| Neuronal Correlation: a Central Concept in Neural Network G Jin, X Yi, X Huang arXiv preprint arXiv:2201.09069, 2022 | 1 | 2022 |
| Reliable deep neural networks with randomised weights G Jin PQDT-Global, 2023 | | 2023 |
Xiaowei HuangProfessor of Computer Science, University of Liverpool在 liverpool.ac.uk 的电子邮件经过验证
