Chen, Huaming

10 publications

ICCV 2025 FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning Huan Wang, Haoran Li, Huaming Chen, Jun Yan, Jiahua Shi, Jun Shen

UAI 2025 Improving Adversarial Transferability via Decision Boundary Adaptation Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Huaming Chen, Kim-Kwang Raymond Choo

ECML-PKDD 2025 PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Silin Liao, Zhibo Jin, Flora Salim, Huaming Chen

ICML 2025 Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution Jiayu Zhang, Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jianlong Zhou, Fang Chen, Huaming Chen

AAAI 2025 Vox-UDA: Voxel-Wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu

ICLR 2024 AttEXplore: Attribution for Explanation with Model Parameters eXploration Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora D. Salim

ICLR 2024 Enhancing Transferable Adversarial Attacks on Vision Transformers Through Gradient Normalization Scaling and High-Frequency Adaptation Zhiyu Zhu, Xinyi Wang, Zhibo Jin, Jiayu Zhang, Huaming Chen

ICML 2024 Iterative Search Attribution for Deep Neural Networks Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen

AAAI 2024 MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo

ECML-PKDD 2023 Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen, Kim-Kwang Raymond Choo, Huaming Chen