Unsupervised prompt learning for vision-language models T Huang, J Chu, F Wei | 101 | 2022 |
Cmua-watermark: A cross-model universal adversarial watermark for combating deepfakes H Huang, Y Wang, Z Chen, Y Zhang, Y Li, Z Tang, W Chu, J Chen, W Lin, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 989-997, 2022 | 63 | 2022 |
Rpattack: Refined patch attack on general object detectors H Huang, Y Wang, Z Chen, Z Tang, W Zhang, KK Ma 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 31 | 2021 |
T-sea: Transfer-based self-ensemble attack on object detection H Huang, Z Chen, H Chen, Y Wang, K Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 29 | 2023 |
OpenVIS: Open-vocabulary video instance segmentation P Guo, T Huang, P He, X Liu, T Xiao, Z Chen, W Zhang arXiv preprint arXiv:2305.16835, 2023 | 9 | 2023 |
Efficient decision-based black-box patch attacks on video recognition K Jiang, Z Chen, H Huang, J Wang, D Yang, B Li, Y Wang, W Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customization X Ye*, H Huang*, J An, Y Wang arXiv preprint arXiv:2308.09889, 2023 | 6 | 2023 |