Hi there 👋👋 !

I’m Boheng Li (李勃衡), a first-year Ph.D. student at the College of Computing and Data Science (CCDS), Nanyang Technological University, Singapore, under the supervision of Prof. Tianwei Zhang. I received my B.E. from the School of Cyber Science and Engineering (SCSE), Wuhan University (WHU), China, in 2024, where I was advised by Prof. Run Wang. During my undergraduate studies (2023.04-2024.06), I also worked as a research intern at the State Key Laboratory of Blockchain and Data Security, Zhejiang University, China, collaborating with Dr. Yiming Li.

My research interests focus on trustworthy machine learning, with a particular emphasis on responsible (multimodal) generative models.

🌟🌟 I am open to discussions and potential collaboration opportunities. If you’re interested in working with me, don’t hesitate to send me an email!

🔥 News

📝 Selected Publications

$^\dagger$: equal contribution

• 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
  The 34th USENIX Security Symposium (USENIX Security), 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
  The IEEE Symposium on Security and Privacy (S&P), 2025

• Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation
  Boheng Li$^\dagger$, Yishuo Cai$^\dagger$, Jisong Cai, Yiming Li, Han Qiu, Run Wang, Tianwei Zhang
  The International Conference on Machine Learning (ICML), 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
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

• Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks
  Yu He$^\dagger$, Boheng Li$^\dagger$, Yao Wang, Mengda Yang, Juan Wang, Hongxin Hu, and Xingyu Zhao
  The ACM Conference on Computer and Communications Security (CCS), 2024

• What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks
  Ziheng Huang$^\dagger$, Boheng Li$^\dagger$, Yan Cai, Run Wang, Shangwei Guo, Liming Fang, Jing Chen, Lina Wang
  The International Conference on Computer Vision (ICCV), 2023

• 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
  The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 –>

• 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
  Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

• 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
  Annual AAAI Conference on Artificial Intelligence (AAAI), 2025

• TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution
  Mengjie Wu, Jingui Ma, Run Wang, Sidan Zhang, Boheng Li, Chenhao Lin, Liming Fang, Lina Wang
  Annual AAAI Conference on Artificial Intelligence (AAAI), 2024

• 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
  ACM Multimedia (MM), 2023

🎡 Activities

Academic Services

• Reviewer, The International Conference on Computer Vision (ICCV), 2025.
• Reviewer, The IEEE Transactions on Dependable and Secure Computing (TDSC), 2025.
• Reviewer, The IEEE Transactions on Information Forensics & Security (TIFS), 2025.
• Reviewer, The International Conference on Machine Learning (ICML), 2025. (ICML’25 Top Reviewer Award)
• Artifact Evaluation Committee, The USENIX Security Symposium (USENIX Security), 2025.
• Reviewer, The IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025.
• Reviewer, The International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.
• Reviewer, The International Conference on Learning Representations (ICLR), 2025. (ICLR’25 Notable Reviewer Award)
• Reviewer, Annual Conference on Neural Information Processing Systems (NeurIPS), 2024, 2025.
• Reviewer, ACM Multimedia Conference (MM), 2024, 2025. (MM’24 Outstanding Reviewer Award)
• Reviewer, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2023.

I have also reviewed paper for KDD, AAAI, IJCAI, ECCV, CVPR, ICML, and TPAMI.