Wenjie Qu Email: wenjiequ@u.nus.edu Google Scholar Curriculum Vitae |
Hi! I am a PhD candidate in Computer Science at National University of Singapore, fortunately advised by Prof. Jiaheng Zhang. I had the previledge to work with Prof. Dawn Song, Prof. Neil Gong, Prof. Chao Zhang. I have also interned at Microsoft Research Asia.
My recent research focuses on applied cryptography, especially zero-knowledge proof and its intersection with AI auditing.
I am always open to collaborations. If you share similar interests, feel free to email me.
PhD (ongoing), National University of Singapore
B.E. Huazhong University of Science and Technology
Mosformer: Maliciously Secure Three-Party Inference Framework for Large Transformers
[paper]
Ke Cheng, Yuheng Xia, Anxiao Song, Jiaxuan Fu, Wenjie Qu, Yulong Shen, Jiaheng Zhang
CCS, 2025, (CCF-A)
Prompt Inversion Attack against Collaborative Inference of Large Language Models
[paper] [code]
Wenjie Qu, Yuguang Zhou, Yongji Wu, Tingsong Xiao, Binhang Yuan, Yiming Li, Jiaheng Zhang
S&P, 2025, (CCF-A)
HyperPianist: Pianist with Linear-Time Prover and Logarithmic Communication Cost
[preprint]
Chongrong Li, Pengfei Zhu, Yun Li, Cheng Hong, Wenjie Qu, Jiaheng Zhang
S&P, 2025, (CCF-A)
zkGPT: An Efficient Non-interactive Zero-knowledge Proof Framework for LLM Inference
[paper][code]
Wenjie Qu, Yijun Sun, Xuanming Liu, Tao Lu, Yanpei Guo, Kai Chen, Jiaheng Zhang
USENIX Security, 2025, (CCF-A)
Provably Robust Multi-bit Watermarking for AI-generated Text
[paper]
[code]
Wenjie Qu, Wengrui Zheng, Tianyang Tao, Dong Yin, Yanze Jiang, Zhihua Tian,Wei Zou, Jinyuan Jia, Jiaheng Zhang
USENIX Security, 2025, (CCF-A)
DeepFold: Efficient Multilinear Polynomial Commitment from Reed-Solomon Code and Its Application to Zero-knowledge Proofs
[preprint]
Yanpei Guo,
Xuanming Liu,
Kexi Huang,
Wenjie Qu,
Tianyang Tao,
Jiaheng Zhang
USENIX Security, 2025, (CCF-A)
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service
[paper]
Wenjie Qu, Jinyuan Jia, Neil Gong
NDSS, 2023, (CCF-A)
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning [paper]
Hongbin Liu*, Jinyuan Jia*, Wenjie Qu, Neil Gong
CCS, 2021, (CCF-A)
Program Committee CCS 2025, 2026
Journal Reviewer IoT-J, TIFS
Reviewer ICML 2022, MM 2024, COLM 2025, NeurIPS 2025
Sub-Reviewer PKC 2024
2023 NUS President's Graduate Fellowship
2022 Huawei Scholarship (sole recipient in department)
2020 National Scholarship
2018 National Olympiad in Informatics Winter Camp, Bronze Medal