| Transferable adversarial examples based on global smooth perturbations Y Liu, M Jiang, T Jiang Computers & Security 121, 102816, 2022 | 4 | 2022 |
| Exploring vulnerabilities of no-reference image quality assessment models: A query-based black-box method C Yang, Y Liu, D Li IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 3 | 2024 |
| Robust Stable Spiking Neural Networks J Ding, Z Pan, Y Liu, Z Yu, T Huang International Conference on Machine Learning, 2024 | | 2024 |
| Enhancing Adversarial Robustness in SNNs with Sparse Gradients Y Liu, T Bu, J Ding, Z Hao, T Huang, Z Yu International Conference on Machine Learning, 2024 | | 2024 |
| Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives C Yang, Y Liu, D Li, Y Zhong, T Jiang arXiv preprint arXiv:2404.13277, 2024 | | 2024 |
| Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization Y Liu, C Yang, D Li, J Ding, T Jiang IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024 | | 2024 |
| LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model Z Hao, X Shi, Z Pan, Y Liu, Z Yu, T Huang arXiv preprint arXiv:2402.00411, 2024 | | 2024 |
| Towards HDR and HFR Video from Rolling-Mixed-Bit Spikings Y Chang, Y Xiaokaiti, Y Liu, B Fan, Z Huang, T Huang, B Shi IEEE/CVF Conference on Computer Vision and Pattern Recognition, 25117-25127, 2024 | | 2024 |
| LabelFool: A Trick In The Label Space Y Liu, M Jiang, T Jiang 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | | 2022 |
Tingting JiangAssociate Professor of Computer Science, Peking University在 pku.edu.cn 的电子邮件经过验证
