Huafeng Kuang

According to our database, Huafeng Kuang authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Defense Against Adversarial Attacks Using Topology Aligning Adversarial Training.

Huafeng Kuang, Hong Liu, Xianming Lin, Rongrong Ji

IEEE Trans. Inf. Forensics Secur., 2024

TraDiffusion: Trajectory-Based Training-Free Image Generation.

Mingrui Wu, Oucheng Huang, Jiayi Ji, Jiale Li, Xinyue Cai, Huafeng Kuang, Jianzhuang Liu, Xiaoshuai Sun, Rongrong Ji

CoRR, 2024

UniFL: Improve Stable Diffusion via Unified Feedback Learning.

Jiacheng Zhang, Jie Wu, Yuxi Ren, Xin Xia, Huafeng Kuang, Pan Xie, Jiashi Li, Xuefeng Xiao, Weilin Huang, Min Zheng, Lean Fu, Guanbin Li

CoRR, 2024

ByteEdit: Boost, Comply and Accelerate Generative Image Editing.

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

CoRR, 2024

StealthDiffusion: Towards Evading Diffusion Forensic Detection through Diffusion Model.

Ziyin Zhou, Ke Sun, Zhongxi Chen, Huafeng Kuang, Xiaoshuai Sun, Rongrong Ji

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

TreeReward: Improve Diffusion Model via Tree-Structured Feedback Learning.

Jiacheng Zhang, Jie Wu, Huafeng Kuang, Haiming Zhang, Yuxi Ren, Weifeng Chen, Manlin Zhang, Xuefeng Xiao, Guanbin Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

ByteEdit: Boost, Comply and Accelerate Generative Image Editing.

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

Proceedings of the Computer Vision - ECCV 2024, 2024

ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback.

Ming Li, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Semantically Consistent Visual Representation for Adversarial Robustness.

Huafeng Kuang, Hong Liu, Yongjian Wu, Rongrong Ji

IEEE Trans. Inf. Forensics Secur., 2023

DLIP: Distilling Language-Image Pre-training.

Huafeng Kuang, Jie Wu, Xiawu Zheng, Ming Li, Xuefeng Xiao, Rui Wang, Min Zheng, Rongrong Ji

CoRR, 2023

Latent Feature Relation Consistency for Adversarial Robustness.

Xingbin Liu, Huafeng Kuang, Hong Liu, Xianming Lin, Yongjian Wu, Rongrong Ji

CoRR, 2023

CAT: Collaborative Adversarial Training.

Xingbin Liu, Huafeng Kuang, Xianming Lin, Yongjian Wu, Rongrong Ji

CoRR, 2023

Improving Adversarial Robustness via Information Bottleneck Distillation.

Huafeng Kuang, Hong Liu, Yongjian Wu, Shin'ichi Satoh, Rongrong Ji

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Towards Robust Adversarial Training via Dual-label Supervised and Geometry Constraint.

Liujuan Cao, Huafeng Kuang, Hong Liu, Yan Wang, Baochang Zhang, Feiyue Huang, Yongjian Wu, Rongrong Ji

Int. J. Softw. Informatics, 2022

2019

Multi-modal Multi-layer Fusion Network with Average Binary Center Loss for Face Anti-spoofing.

Huafeng Kuang, Rongrong Ji, Hong Liu, Shengchuan Zhang, Xiaoshuai Sun, Feiyue Huang, Baochang Zhang

Proceedings of the 27th ACM International Conference on Multimedia, 2019