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Journal Articles
- 2024
[j3]Huafeng Kuang
, Hong Liu, Xianming Lin, Rongrong Ji:
Defense Against Adversarial Attacks Using Topology Aligning Adversarial Training. IEEE Trans. Inf. Forensics Secur. 19: 3659-3673 (2024)- 2023
- [j2]Huafeng Kuang, Hong Liu, Yongjian Wu, Rongrong Ji:
Semantically Consistent Visual Representation for Adversarial Robustness. IEEE Trans. Inf. Forensics Secur. 18: 5608-5622 (2023) - 2022
- [j1]Liujuan Cao, Huafeng Kuang, Hong Liu, Yan Wang, Baochang Zhang, Feiyue Huang, Yongjian Wu, Rongrong Ji:
Towards Robust Adversarial Training via Dual-label Supervised and Geometry Constraint. Int. J. Softw. Informatics 12(2): 177-193 (2022)
Conference and Workshop Papers
- 2024
- [c5]Ming Li, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen:
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback. ECCV (7) 2024: 129-147 - [c4]Ziyin Zhou, Ke Sun, Zhongxi Chen, Huafeng Kuang, Xiaoshuai Sun, Rongrong Ji:
StealthDiffusion: Towards Evading Diffusion Forensic Detection through Diffusion Model. ACM Multimedia 2024: 3627-3636 - [c3]Jiacheng Zhang, Jie Wu, Huafeng Kuang, Haiming Zhang, Yuxi Ren, Weifeng Chen, Manlin Zhang, Xuefeng Xiao, Guanbin Li:
TreeReward: Improve Diffusion Model via Tree-Structured Feedback Learning. ACM Multimedia 2024: 4533-4542 - 2023
- [c2]Huafeng Kuang, Hong Liu, Yongjian Wu, Shin'ichi Satoh, Rongrong Ji:
Improving Adversarial Robustness via Information Bottleneck Distillation. NeurIPS 2023 - 2019
- [c1]Huafeng Kuang, Rongrong Ji, Hong Liu, Shengchuan Zhang, Xiaoshuai Sun, Feiyue Huang, Baochang Zhang:
Multi-modal Multi-layer Fusion Network with Average Binary Center Loss for Face Anti-spoofing. ACM Multimedia 2019: 48-56
Informal and Other Publications
- 2024
- [i8]Yuxi Ren, Jie Wu, Yanzuo Lu, Huafeng Kuang, Xin Xia, Xionghui Wang, Qianqian Wang, Yixing Zhu, Pan Xie, Shiyin Wang, Xuefeng Xiao, Yitong Wang, Min Zheng, Lean Fu:
ByteEdit: Boost, Comply and Accelerate Generative Image Editing. CoRR abs/2404.04860 (2024) - [i7]Jiacheng Zhang, Jie Wu, Yuxi Ren, Xin Xia, Huafeng Kuang, Pan Xie, Jiashi Li, Xuefeng Xiao, Weilin Huang, Min Zheng, Lean Fu, Guanbin Li:
UniFL: Improve Stable Diffusion via Unified Feedback Learning. CoRR abs/2404.05595 (2024) - [i6]Ming Li, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen:
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback. CoRR abs/2404.07987 (2024) - [i5]Ziyin Zhou, Ke Sun, Zhongxi Chen, Huafeng Kuang, Xiaoshuai Sun, Rongrong Ji:
StealthDiffusion: Towards Evading Diffusion Forensic Detection through Diffusion Model. CoRR abs/2408.05669 (2024) - [i4]Mingrui Wu, Oucheng Huang, Jiayi Ji, Jiale Li, Xinyue Cai, Huafeng Kuang, Jianzhuang Liu, Xiaoshuai Sun, Rongrong Ji:
TraDiffusion: Trajectory-Based Training-Free Image Generation. CoRR abs/2408.09739 (2024) - 2023
- [i3]Xingbin Liu, Huafeng Kuang, Xianming Lin, Yongjian Wu, Rongrong Ji:
CAT: Collaborative Adversarial Training. CoRR abs/2303.14922 (2023) - [i2]Xingbin Liu, Huafeng Kuang, Hong Liu, Xianming Lin, Yongjian Wu, Rongrong Ji:
Latent Feature Relation Consistency for Adversarial Robustness. CoRR abs/2303.16697 (2023) - [i1]Huafeng Kuang, Jie Wu, Xiawu Zheng, Ming Li, Xuefeng Xiao, Rui Wang, Min Zheng, Rongrong Ji:
DLIP: Distilling Language-Image Pre-training. CoRR abs/2308.12956 (2023)
Coauthor Index
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