Exploring vulnerabilities of no-reference image quality assessment models: A query-based black-box method C Yang, Y Liu, D Li, T Jiang IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 10 | 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 | 6 | 2024 |
Transferable adversarial examples based on global smooth perturbations Y Liu, M Jiang, T Jiang Computers & Security 121, 102816, 2022 | 5 | 2022 |
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 | 4 | 2024 |
LM-HT SNN: Enhancing the performance of SNN to ANN counterpart through learnable multi-hierarchical threshold model Z Hao, X Shi, Y Liu, Z Yu, T Huang Neural Information Processing Systems, 2024 | 4 | 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, 2024 | 2 | 2024 |
Robust Stable Spiking Neural Networks J Ding, Z Pan, Y Liu, Z Yu, T Huang International Conference on Machine Learning, 2024 | 1 | 2024 |
Enhancing adversarial robustness in SNNs with sparse gradients Y Liu, T Bu, J Ding, Z Hao, T Huang, Z Yu arXiv preprint arXiv:2405.20355, 2024 | 1 | 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 |