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

2025.03: 📝 I am invited as a reviewer for ICCV 2025.
2025.03: 📝 I am invited as a reviewer for IEEE TDSC.
2025.02: 📝 I am invited as a reviewer for NeurIPS 2025.
2025.02: 📝 I am invited as a reviewer for ACM MM 2025.
2025.01: 🎉 One paper is accepted by USENIX Security 2025.
2025.01: 📝 I am invited as a reviewer for IEEE TIFS.
2024.12: 📝 I am invited as a reviewer for ICML 2025.
2024.11: 📝 I will serve as the Artifact Evaluation Committee (AEC) for USENIX Security 2025.
2024.11: 📝 I am invited as a reviewer for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).
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.
2024.02: 🏆 Our team won the Outstanding Prize of Innova University Student Innovation Achievement Award.
2024.01: 📝 I am invited as a reviewer for ACM MM 2024.
2023.07: 🎉 One paper is accepted by ICCV 2023.
2023.06: 📝 I am invited as a reviewer by ACM MM.
2023.02: 🏆 I was awarded the Huawei Scholarship (54 candidates per year in WHU) by Wuhan University & Huawei Technologies Co., Ltd.
2022.11: 🏆 Our team "AntiE" won the Gold Reward (national highest award, award rate < 0.01%) at the 8th China International College Students 'Internet+' Innovation and Entrepreneurship Competition. Thanks to all teammates and advisors!
2022.10: 🏆 I won the National Scholarship (0.2% national-wide) and was selected as Pacemaker to Merit Student of WHU (Award Rate: 60/59774=0.1%).
2022.08: 🏆 Our team won the Outstanding Winner Award (highest award) in the 2022 National College Student Surveying and Mapping Discipline Innovation and Entrepreneurship Intelligent Competition.
2022.08: 🏆 Our team "AntiE" won the Golden Prize in the 8th China International College Students "Internet+" Innovation and Entrepreneurship Competition, Hubei Province Division, and successfully entered the National Finals.
2022.08: 🏆 Our team won the First Prize in the 15th Chinese Collegiate Computing Competition National Finals (4C'2022).
2022.08: 🏆 Our team "AntiE" won the Outstanding Winner Award in the 14th Shenzhen Innovation and Entrepreneurship Competition.
2022.07: 🎓 This semester ended with a GPA of 4.0/4.0 and an average score of 95.47/100.
2022.07: 🏆 I won the Second Prize in the Lanqiao Cup national finals.
2022.07: 🏆 Our team "AntiE" won the Golden Prize in the "Challenge Cup" Innovation and Entrepreneurship Competition, Hubei Province Division, and successfully entered the National Competition.

📝 Selected Publications

$^\dagger$: equal contribution

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
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

🎡 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.
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.
Reviewer, Annual Conference on Neural Information Processing Systems (NeurIPS), 2024, 2025.
Reviewer, ACM Multimedia Conference (MM), 2024, 2025. (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.