Ye, Qingqing

9 publications

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

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

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