He, Daojing

9 publications

NeurIPS 2025 Context-Aware Hierarchical Learning: A Two-Step Paradigm Towards Safer LLMs Tengyun Ma, Jiaqi Yao, Daojing He, Shihao Peng, Yu Li, Shaohui Liu, Zhuotao Tian
AAAI 2025 DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models Zhiheng Huang, Yannan Liu, Daojing He, Yu Li
ICCV 2025 Enhancing Spatial Reasoning in Multimodal Large Language Models Through Reasoning-Based Segmentation Zhenhua Ning, Zhuotao Tian, Shaoshuai Shi, Guangming Lu, Daojing He, Wenjie Pei, Li Jiang
AAAI 2025 Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering Yifan Lu, Yigeng Zhou, Jing Li, Yequan Wang, Xuebo Liu, Daojing He, Fangming Liu, Min Zhang
ICLR 2025 One Model Transfer to All: On Robust Jailbreak Prompts Generation Against LLMs Linbao Li, Yannan Liu, Daojing He, Yu Li
ICLRW 2025 SWA-LDM: Toward Stealthy Watermarks for Latent Diffusion Models Zhonghao Yang, Linye Lyu, Xuanhang Chang, Daojing He, Yu Li
NeurIPS 2024 CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors Linye Lyu, Jiawei Zhou, Daojing He, Yu Li
NeurIPS 2024 Parameter Competition Balancing for Model Merging Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang
ICML 2024 RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation Jiawei Zhou, Linye Lyu, Daojing He, Yu Li