Li, Qingming

8 publications

ICLR 2026 Contextual and Seasonal LSTMs for Time Series Anomaly Detection Lingpei Zhang, Qingming Li, Yong Yang, Jiahao Chen, Rui Zeng, Chenyang Lyu, Shouling Ji

ICLR 2026 From ``Sure" to ``Sorry": Detecting Jailbreak in Large Vision Language Model via JailNeurons Yuyou Gan, Qingming Li, Junhao Li, Zhi Chen, Jinbao Li, Xiaoming Li, Shouling Ji

ICLR 2026 STAR: Strategy-Driven Automatic Jailbreak Red-Teaming for Large Language Model Jianing Liu, Qingming Li, Jiahao Chen, Rui Zeng, Binbin Zhao, Shouling Ji

ICCV 2025 An Inversion-Based Measure of Memorization for Diffusion Models Zhe Ma, Qingming Li, Xuhong Zhang, Tianyu Du, Ruixiao Lin, Zonghui Wang, Shouling Ji, Wenzhi Chen

AAAI 2025 CAMH: Advancing Model Hijacking Attack in Machine Learning Xing He, Jiahao Chen, Yuwen Pu, Qingming Li, Chunyi Zhou, Yingcai Wu, Jinbao Li, Shouling Ji

AAAI 2025 Differential Private Stochastic Optimization with Heavy-Tailed Data: Towards Optimal Rates Puning Zhao, Jiafei Wu, Zhe Liu, Chong Wang, Rongfei Fan, Qingming Li

ICLR 2025 Enhancing Learning with Label Differential Privacy by Vector Approximation Puning Zhao, Jiafei Wu, Zhe Liu, Li Shen, Zhikun Zhang, Rongfei Fan, Le Sun, Qingming Li

NeurIPS 2024 A Huber Loss Minimization Approach to Mean Estimation Under User-Level Differential Privacy Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu