Zhang, Jiayu

10 publications

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

ICLR 2025 Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Nan Yang, Jiahao Huang, Jianlong Zhou, Fang Chen

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

NeurIPS 2025 Whose Instructions Count? Resolving Preference Bias in Instruction Fine-Tuning Jiayu Zhang, Changbang Li, Yinan Peng, Weihao Luo, Peilai Yu, Xuan Zhang

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