6 papers
HealSplit: Towards Self-Healing through Adversarial Distillation in Split Federated Learning
Yuhan Xie, Chen Lyu
Split Federated Learning (SFL) is an emerging paradigm for privacy-preserving distributed learning. However, it remains vulnerable to sophisticated data poisoning attacks targeting…
Defense against Unauthorized Distillation in Image Restoration via Feature Space Perturbation
Han Hu, Zhuoran Zheng, Chen Lyu
Knowledge distillation (KD) attacks pose a significant threat to deep model intellectual property by enabling adversaries to train student networks using a teacher model's outputs.…
Foggy Crowd Counting: Combining Physical Priors and KAN-Graph
Yuhao Wang, Zhuoran Zheng, Han Hu +3
Aiming at the key challenges of crowd counting in foggy environments, such as long-range target blurring, local feature degradation, and image contrast attenuation, this paper prop…
Hazy Pedestrian Trajectory Prediction via Physical Priors and Graph-Mamba
Jian Chen, Zhuoran Zheng, Han Hu +4
To address the issues of physical information degradation and ineffective pedestrian interaction modeling in pedestrian trajectory prediction under hazy weather conditions, we prop…
VAMamba: An Efficient Visual Adaptive Mamba for Image Restoration
Han Hu, Zhuoran Zheng, Liang Li +1
Recent Mamba-based image restoration methods have achieved promising results but remain limited by fixed scanning patterns and inefficient feature utilization. Conventional Mamba a…
AdaQual-Diff: Diffusion-Based Image Restoration via Adaptive Quality Prompting
Xin Su, Chen Wu, Yu Zhang +2
Restoring images afflicted by complex real-world degradations remains challenging, as conventional methods often fail to adapt to the unique mixture and severity of artifacts prese…