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 | 23 | 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 33 (7), 3185-3198, 2023 | 20* | 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 | 9 | 2022 |
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 | 6 | 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 | 6 | 2020 |
Fingerprinting Image-to-Image Generative Adversarial Networks G Li, G Xu, H Qiu, S Guo, R Wang, J Li, T Zhang, R Lu EuroS&P, 2024 | 3* | 2024 |
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 | 3* | 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 |
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users G Li, K Chen, S Zhang, J Zhang, T Zhang arXiv preprint arXiv:2405.19360, 2024 | | 2024 |
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA W Feng, W Zhou, J He, J Zhang, T Wei, G Li, T Zhang, W Zhang, N Yu arXiv preprint arXiv:2405.11135, 2024 | | 2024 |
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 | | 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 |