| 2026 | SP | DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling. | Boheng Li, Junjie Wang, Yiming Li, Zhiyang Hu, Leyi Qi, Jianshuo Dong, Run Wang, Han Qiu, Zhan Qin, Tianwei Zhang |
| 2025 | AAAI | Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection. | Ziyou Liang, Weifeng Liu, Run Wang, Mengjie Wu, Boheng Li, Yuyang Zhang, Lina Wang, Xinyi Yang |
| 2025 | CVPR | 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 |
| 2025 | SMC | RMNA: ROI-Mixup and Neighborhood Alignment for Cross-Domain Plant Disease Classification. | Boheng Li, Hitoshi Iyatomi |
| 2025 | SP | Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models. | Boheng Li, Yanhao Wei, Yankai Fu, Zhenting Wang, Yiming Li, Jie Zhang, Run Wang, Tianwei Zhang |
| 2024 | AAAI | TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution. | Mengjie Wu, Jingui Ma, Run Wang, Sidan Zhang, Ziyou Liang, Boheng Li, Chenhao Lin, Liming Fang, Lina Wang |
| 2024 | CCS | Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks. | Yu He, Boheng Li, Yao Wang, Mengda Yang, Juan Wang, Hongxin Hu, Xingyu Zhao |
| 2024 | CVPR | Nearest is Not Dearest: Towards Practical Defense Against Quantization-Conditioned Backdoor Attacks. | Boheng Li, Yishuo Cai, Haowei Li, Feng Xue, Zhifeng Li, Yiming Li |
| 2024 | ICML | Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation. | Boheng Li, Yishuo Cai, Jisong Cai, Yiming Li, Han Qiu, Run Wang, Tianwei Zhang |
| 2023 | ICCV | What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks. | Ziheng Huang, Boheng Li, Yan Cai, Run Wang, Shangwei Guo, Liming Fang, Jing Chen, Lina Wang |