Comprehensive Evaluation of Emergency Shelters in Wuhan City Based on GIS. - Tingyu Luo; Boheng Li; Jiahao Zhou; Qingxiang Meng (Geoinformatics, 2022)

Optimized Design Method for Satellite Constellation Configuration Based on Real-time Coverage Area Evaluation. - Jiahao Zhou; Boheng Li; Qingxiang Meng (Geoinformatics, 2022)

Comprehensive Evaluation of Emergency Shelters in Wuhan City Based on GIS. - Tingyu Luo; Boheng Li; Qingxiang Meng (CoRR, 2022)

Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks. - Run Wang 001; Jixing Ren; Boheng Li; Tianyi She; Chenhao Lin; Liming Fang 001; Jing Chen 003; Chao Shen 001; Lina Wang 001 (CoRR, 2022)

What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks. - Ziheng Huang; Boheng Li; Yan Cai 015; Run Wang 001; Shangwei Guo; Liming Fang 001; Jing Chen 003; Lina Wang 001 (ICCV, 2023)

Dual-level Interaction for Domain Adaptive Semantic Segmentation. - Dongyu Yao; Boheng Li (ICCV (Workshops), 2023)

Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks. - Run Wang 001; Jixing Ren; Boheng Li; Tianyi She; Wenhui Zhang; Liming Fang 001; Jing Chen 003; Lina Wang 001 (ACM Multimedia, 2023)

Dual-level Interaction for Domain Adaptive Semantic Segmentation. - Dongyu Yao; Boheng Li; Run Wang 001; Lina Wang 001 (CoRR, 2023)

What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network. - Ziheng Huang; Boheng Li; Yan Cai 015; Run Wang 001; Shangwei Guo; Liming Fang 001; Jing Chen 003; Lina Wang 001 (CoRR, 2023)

TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution. - Mengjie Wu; Jingui Ma; Run Wang 001; Sidan Zhang; Ziyou Liang; Boheng Li; Chenhao Lin; Liming Fang 001; Lina Wang 001 (AAAI, 2024)

Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks. - Yu He; Boheng Li; Yao Wang; Mengda Yang; Juan Wang 006; Hongxin Hu; Xingyu Zhao 001 (CCS, 2024)

Nearest is Not Dearest: Towards Practical Defense Against Quantization-Conditioned Backdoor Attacks. - Boheng Li; Yishuo Cai; Haowei Li; Feng Xue; Zhifeng Li; Yiming Li (CVPR, 2024)

Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation. - Boheng Li; Yishuo Cai; Jisong Cai; Yiming Li 004; Han Qiu 001; Run Wang 001; Tianwei Zhang 004 (ICML, 2024)

Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes. - Weifeng Liu; Tianyi She; Jiawei Liu; Boheng Li; Dongyu Yao; Ziyou Liang; Run Wang (NeurIPS, 2024)

VEnvision3D: A Synthetic Perception Dataset for 3D Multi-Task Model Research. - Jiahao Zhou; Chen Long; Yue Xie; Jialiang Wang; Boheng Li; Haiping Wang 004; Zhe Chen; Zhen Dong 005 (CoRR, 2024)

Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection. - Ziyou Liang; Weifeng Liu; Run Wang 001; Mengjie Wu; Boheng Li; Yuyang Zhang; Lina Wang 001; Xinyi Yang (AAAI, 2025)

Invisible Backdoor Attack against Self-supervised Learning. - Hanrong Zhang; Zhenting Wang; Boheng Li; Fulin Lin; Tingxu Han; Mingyu Jin; Chenlu Zhan; Mengnan Du; Hongwei Wang; Shiqing Ma (CVPR, 2025)

Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models. - Boheng Li; Yanhao Wei; Yankai Fu; Zhenting Wang; Yiming Li 004; Jie Zhang 073; Run Wang 001; Tianwei Zhang 004 (SP, 2025)

WHU-Synthetic: A Synthetic Perception Dataset for 3-D Multitask Model Research. - Jiahao Zhou; Chen Long; Yue Xie; Jialiang Wang; Conglang Zhang; Boheng Li; Haiping Wang 004; Zhe Chen; Zhen Dong 005 (IEEE Trans. Geosci. Remote. Sens., 2025)

Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models. - Yu He; Boheng Li; Liu Liu; Zhongjie Ba; Wei Dong 001; Yiming Li 004; Zhan Qin; Kui Ren 001; Chun Chen 001 (CoRR, 2025)

Revisiting Data Auditing in Large Vision-Language Models. - Hongyu Zhu 004; Sichu Liang; Wenwen Wang; Boheng Li; Tongxin Yuan; Fangqi Li; Shi-Lin Wang; Zhuosheng Zhang 001 (CoRR, 2025)

DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective. - Shuo Shao 002; Yiming Li 004; Mengren Zheng; Zhiyang Hu; Yukun Chen 002; Boheng Li; Yu He; Junfeng Guo; Tianwei Zhang 004; Dacheng Tao; Zhan Qin (CoRR, 2025)

Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning. - Boheng Li; Renjie Gu; Junjie Wang; Leyi Qi; Yiming Li 004; Run Wang 001; Zhan Qin; Tianwei Zhang 004 (CoRR, 2025)

DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling. - Boheng Li; Junjie Wang; Yiming Li 004; Zhiyang Hu; Leyi Qi; Jianshuo Dong; Run Wang 001; Han Qiu 001; Zhan Qin; Tianwei Zhang 004 (CoRR, 2025)