Follow
Gaojie Jin
Title
Cited by
Cited by
Year
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
492022
How does weight correlation affect the generalisation ability of deep neural networks
G Jin, X Yi, L Zhang, L Zhang, S Schewe, X Huang
Advances in Neural Information Processing Systems 33 (NeurIPS), 2020
392020
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
382023
Machine Learning Safety
X Huang, G Jin, W Ruan
Machine Learning Safety, 3-13, 2023
22*2023
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
Randomized Adversarial Training via Taylor Expansion
G Jin, X Yi, D Wu, R Mu, X Huang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
122023
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning
R Mu, W Ruan, LS Marcolino, G Jin, Q Ni
Association for the Advancement of Artificial Intelligence (AAAI), 2022
112022
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
Transactions on Machine Learning Research (TMLR), 2022
52022
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
22023
Building Guardrails for Large Language Models
Y Dong, R Mu, G Jin, Y Qi, J Hu, X Zhao, J Meng, W Ruan, X Huang
arXiv preprint arXiv:2402.01822, 2024
12024
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models
L Zhang, N Xu, P Yang, G Jin, CC Huang, L Zhang
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023
12023
Neuronal Correlation: a Central Concept in Neural Network
G Jin, X Yi, X Huang
arXiv preprint arXiv:2201.09069, 2022
12022
Reliable deep neural networks with randomised weights
G Jin
PQDT-Global, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–14