Xu, Jianliang

8 publications

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

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

ICLR 2023 Combating Exacerbated Heterogeneity for Robust Models in Federated Learning Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han

ICML 2023 Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han

ICLR 2022 Reliable Adversarial Distillation with Unreliable Teachers Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang

IJCAI 2021 Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints Yun Peng, Byron Choi, Jianliang Xu

AAAI 2021 ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification Guozhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Kwok-Pan Chun, Grace Lai-Hung Wong