Boheng Li

According to our database, Boheng Li authored at least 24 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

CoRR, July, 2025

Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning.

Boheng Li, Renjie Gu, Junjie Wang, Leyi Qi, Yiming Li, Run Wang, Zhan Qin, Tianwei Zhang

CoRR, July, 2025

DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective.

Shuo Shao, Yiming Li, Mengren Zheng, Zhiyang Hu, Yukun Chen, Boheng Li, Yu He, Junfeng Guo, Tianwei Zhang, Dacheng Tao, Zhan Qin

CoRR, July, 2025

Revisiting Data Auditing in Large Vision-Language Models.

Hongyu Zhu, Sichu Liang, Wenwen Wang, Boheng Li, Tongxin Yuan, Fangqi Li, Shi-Lin Wang, Zhuosheng Zhang

CoRR, April, 2025

Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models.

Yu He, Boheng Li, Liu Liu, Zhongjie Ba, Wei Dong, Yiming Li, Zhan Qin, Kui Ren, Chun Chen

CoRR, February, 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, Zhe Chen, Zhen Dong

IEEE Trans. Geosci. Remote. Sens., 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, Jie Zhang, Run Wang, Tianwei Zhang

Proceedings of the IEEE Symposium on Security and Privacy, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

VEnvision3D: A Synthetic Perception Dataset for 3D Multi-Task Model Research.

Jiahao Zhou, Chen Long, Yue Xie, Jialiang Wang, Boheng Li, Haiping Wang, Zhe Chen, Zhen Dong

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network.

Ziheng Huang, Boheng Li, Yan Cai, Run Wang, Shangwei Guo, Liming Fang, Jing Chen, Lina Wang

CoRR, 2023

Dual-level Interaction for Domain Adaptive Semantic Segmentation.

Dongyu Yao, Boheng Li, Run Wang, Lina Wang

CoRR, 2023

Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks.

Run Wang, Jixing Ren, Boheng Li, Tianyi She, Wenhui Zhang, Liming Fang, Jing Chen, Lina Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Dual-level Interaction for Domain Adaptive Semantic Segmentation.

Dongyu Yao, Boheng Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Free Fine-tuning: A Plug-and-Play Watermarking Scheme for Deep Neural Networks.

Run Wang, Jixing Ren, Boheng Li, Tianyi She, Chenhao Lin, Liming Fang, Jing Chen, Chao Shen, Lina Wang

CoRR, 2022

Comprehensive Evaluation of Emergency Shelters in Wuhan City Based on GIS.

Tingyu Luo, Boheng Li, Qingxiang Meng

CoRR, 2022

Optimized Design Method for Satellite Constellation Configuration Based on Real-time Coverage Area Evaluation.

Jiahao Zhou, Boheng Li, Qingxiang Meng

Proceedings of the 29th International Conference on Geoinformatics, 2022

Comprehensive Evaluation of Emergency Shelters in Wuhan City Based on GIS.

Tingyu Luo, Boheng Li, Jiahao Zhou, Qingxiang Meng

Proceedings of the 29th International Conference on Geoinformatics, 2022