Shi, Jie

11 publications

ICLR 2025 ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification Xiao Li, Wenxuan Sun, Huanran Chen, Qiongxiu Li, Yingzhe He, Jie Shi, Xiaolin Hu

ICLR 2025 AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua

AAAI 2025 Multi-Turn Jailbreaking Large Language Models via Attention Shifting Xiaohu Du, Fan Mo, Ming Wen, Tu Gu, Huadi Zheng, Hai Jin, Jie Shi

ICCV 2025 PBCAT: Patch-Based Composite Adversarial Training Against Physically Realizable Attacks on Object Detection Xiao Li, Yiming Zhu, Yifan Huang, Wei Zhang, Yingzhe He, Jie Shi, Xiaolin Hu

NeurIPS 2025 SilentStriker: Toward Stealthy Bit-Flip Attacks on Large Language Models Haotian Xu, Qingsong Peng, Jie Shi, Huadi Zheng, Yu Li, Cheng Zhuo

AAAI 2024 Small Language Model Can Self-Correct Haixia Han, Jiaqing Liang, Jie Shi, Qianyu He, Yanghua Xiao

NeurIPS 2024 Towards Neuron Attributions in Multi-Modal Large Language Models Junfeng Fang, Zongze Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua

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

ECCVW 2022 TransPatch: A Transformer-Based Generator for Accelerating Transferable Patch Generation in Adversarial Attacks Against Object Detection Models Jinghao Wang, Chenling Cui, Xuejun Wen, Jie Shi

NeurIPS 2021 Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang

CVPR 2016 Shape Analysis with Hyperbolic Wasserstein Distance Jie Shi, Wen Zhang, Yalin Wang