Hi there 👋👋 !

I’m Boheng Li (李勃衡), a 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, where I was advised by Prof. Run Wang. During my undergraduate studies, 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. Recently, I’ve also developed an interest in graph learning, especially in its applications for Web3 security scenarios. For more details, please feel free to check my publications.

🌟🌟 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

• 2024.11: I received the outstanding reviewer award from ACM MM 2024.
• 2024.09: One paper is accepted by S&P 2025.
• 2024.05: One paper is accepted by ICML 2024.
• 2024.02: One paper is accepted by CVPR 2024.

📝 Publications

$^\dagger$: equal contribution, $^*$: corresponding author

• 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

• 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

• 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

• 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 Computer Vision and Pattern Recognition Conference (CVPR), 2024

• 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

• 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
  International Conference on Computer Vision (ICCV), 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
  ACM Multimedia (MM), 2023

• Dual-level Interaction for Domain Adaptive Semantic Segmentation
  Dongyu Yao, Boheng Li$^*$
  ICCV Workshop on Uncertainty Quantification for Computer Vision (UnCV), 2023

🎡 Activities

Academic Services

• Reviewer, The International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.
• Reviewer, The International Conference on Learning Representations (ICLR), 2025.
• Reviewer, Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
• Reviewer, ACM Multimedia Conference (MM), 2024. (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.