| Enhancing intrinsic adversarial robustness via feature pyramid decoder G Li, S Ding, J Luo, C Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 21 | 2020 |
| Secure decentralized image classification with multiparty homomorphic encryption G Xu, G Li, S Guo, T Zhang, H Li IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 14* | 2023 |
| Improving adversarial robustness of 3D point cloud classification models G Li, G Xu, H Qiu, R He, J Li, T Zhang European conference on computer vision, 672-689, 2022 | 8 | 2022 |
| Scnet: A neural network for automated side-channel attack G Li, C Liu, H Yu, Y Fan, L Zhang, Z Wang, M Wang arXiv preprint arXiv:2008.00476, 2020 | 5 | 2020 |
| Extracting robust models with uncertain examples G Li, G Xu, S Guo, H Qiu, J Li, T Zhang The Eleventh International Conference on Learning Representations, 2022 | 4 | 2022 |
| A Novel Verifiable Fingerprinting Scheme for Generative Adversarial Networks G Li, G Xu, H Qiu, S Guo, R Wang, J Li, T Zhang arXiv preprint arXiv:2106.11760, 2021 | 3 | 2021 |
| Warfare: breaking the watermark protection of ai-generated content G Li, Y Chen, J Zhang, J Li, S Guo, T Zhang arXiv e-prints, arXiv: 2310.07726, 2023 | 2* | 2023 |
| Alleviating the Effect of Data Imbalance on Adversarial Training G Li, G Xu, T Zhang arXiv preprint arXiv:2307.10205, 2023 | 2* | 2023 |
| ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks X Lou, G Xu, K Chen, G Li, J Li, T Zhang arXiv preprint arXiv:2204.05113, 2022 | 1 | 2022 |
| PRIME: Protect Your Videos From Malicious Editing G Li, S Yang, J Zhang, T Zhang arXiv preprint arXiv:2402.01239, 2024 | | 2024 |
| Rethinking Adversarial Training with Neural Tangent Kernel G Li, H Qiu, S Guo, J Li, T Zhang arXiv preprint arXiv:2312.02236, 2023 | | 2023 |
| Singular Regularization with Information Bottleneck Improves Model's Adversarial Robustness G Li, N Zheng, M Zhou, J Zhang, T Zhang arXiv preprint arXiv:2312.02237, 2023 | | 2023 |
| Omnipotent Adversarial Training in the Wild G Li, K Chen, Y Xu, H Qiu, T Zhang arXiv preprint arXiv:2307.08596, 2023 | | 2023 |
| A Benchmark of Long-tailed Instance Segmentation with Noisy Labels G Li, G Xu, T Zhang arXiv preprint arXiv:2211.13435, 2022 | | 2022 |
Chang LiuSchool of Computer Science and Engineering - Nanyang Technological UniversityVerified email at e.ntu.edu.sg
