Hu, Haibo

13 publications

ICLR 2026 AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models Kai Li, Can Shen, Yile Liu, Jirui Han, Kelong Zheng, Xuechao Zou, Lionel Z. Wang, Shun Zhang, Xingjian Du, Hanjun Luo, Yingbin Jin, Xinxin Xing, Ziyang Ma, Yue Liu, YiFan Zhang, Junfeng Fang, Kun Wang, Yibo Yan, Gelei Deng, Haoyang Li, Yiming Li, Xiaobin Zhuang, Tianlong Chen, Qingsong Wen, Tianwei Zhang, Yang Liu, Haibo Hu, Zhizheng Wu, Xiaolin Hu, Eng Siong Chng, Wenyuan Xu, XiaoFeng Wang, Wei Dong, Xinfeng Li

TMLR 2026 Incorporating New Knowledge into Federated Learning: Advances, Insights, and Future Directions Lixu Wang, Sun Yinggang, Yang Zhao, Jiaqi Wu, Jiahua Dong, Ating Yin, Qinbin Li, Qingqing Ye, Dusit Niyato, Tianwei Zhang, Kwok-Yan Lam, Yu Haining, Haibo Hu, Wei Dong

ICLR 2026 RAEE: A Robust Retrieval-Augmented Early Exit Framework for Efficient Inference Lianming Huang, Shangyu Wu, Yufei Cui, Ying Xiong, Haibo Hu, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue

AAAI 2025 A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu

ICML 2025 Does Low Rank Adaptation Lead to Lower Robustness Against Training-Time Attacks? Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Ronghua Li

AAAI 2025 Exploring Intrinsic Alignments Within Text Corpus Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui

ICCV 2025 Federated Continuous Category Discovery and Learning Lixu Wang, Chenxi Liu, Junfeng Guo, Qingqing Ye, Heng Huang, Haibo Hu, Wei Dong

CVPR 2025 ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Zikang Zhou, Hengjian Zhou, Haibo Hu, Zihao Wen, Jianping Wang, Yung-Hui Li, Yu-Kai Huang

ICCV 2025 Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy Yaxin Xiao, Qingqing Ye, Li Hu, Huadi Zheng, Haibo Hu, Zi Liang, Haoyang Li, Yijie Jiao

NeurIPS 2025 Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts Li Bai, Qingqing Ye, Xinwei Zhang, Sen Zhang, Zi Liang, Jianliang Xu, Haibo Hu

NeurIPS 2025 Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data Zi Liang, Qingqing Ye, Xuan Liu, Yanyun Wang, Jianliang Xu, Haibo Hu

NeurIPS 2024 BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction Zikang Zhou, Haibo Hu, Xinhong Chen, Jianping Wang, Nan Guan, Kui Wu, Yung-Hui Li, Yu-Kai Huang, Chun Jason Xue

NeurIPS 2022 MExMI: Pool-Based Active Model Extraction Crossover Membership Inference Yaxin Xiao, Qingqing Ye, Haibo Hu, Huadi Zheng, Chengfang Fang, Jie Shi