| Adversarial example does good: Preventing painting imitation from diffusion models via adversarial examples C Liang, X Wu, Y Hua, J Zhang, Y Xue, T Song, Z Xue, R Ma, H Guan arXiv preprint arXiv:2302.04578, 2023 | 27 | 2023 |
| Improving Bayesian Neural Networks by Adversarial Sampling J Zhang, Y Hua, T Song, H Wang, Z Xue, R Ma, H Guan Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 10110 …, 2022 | 12 | 2022 |
| Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization J Zhang, Y Hua, Z Xue, T Song, C Zheng, R Ma, H Guan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 10 | 2021 |
| Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data J Zhang, R Ma, T Song, Y Hua, Z Xue, C Guan, H Guan ACM/IMS Transactions on Data Science (TDS) 2 (4), 1-15, 2022 | 3 | 2022 |
| CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion X Wu, Y Hua, C Liang, J Zhang, H Wang, T Song, H Guan arXiv preprint arXiv:2403.11162, 2024 | | 2024 |
| Information Bound and its Applications in Bayesian Neural Networks J Zhang, Y Hua, T Song, H Wang, Z Xue, R Ma, H Guan European Conference on Artificial Intelligence, 2023 | | 2023 |
