| 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 zero-knowledge proofs and their applications in AI and blockchain. I am also interested in the security, privacy and auditting of LLMs. My long-term goal is making foundation models like LLMs more responsible and reliable.
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
Prompt Inversion Attack against Collaborative Inference of Large Language Models
[paper]
Wenjie Qu, Yuguang Zhou, Yongji Wu, Tingsong Xiao, Binhang Yuan, Yiming Li, Jiaheng Zhang
IEEE Symposium on Security and Privacy(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
IEEE Symposium on Security and Privacy(S&P), 2025, (CCF-A)
zkGPT: An Efficient Non-interactive Zero-knowledge Proof Framework for LLM Inference
Wenjie Qu, Yijun Sun, Xuanming Liu, Tao Lu, Yanpei Guo, Kai Chen, Jiaheng Zhang
USENIX Security(SEC), 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(SEC), 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(SEC), 2025, (CCF-A)
REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service
[paper]
Wenjie Qu, Jinyuan Jia, Neil Gong
Network and Distributed System Security Symposium(NDSS), 2023, (CCF-A)
MPass: Bypassing Learning-based Static Malware Detectors [paper]
Jialai Wang, Wenjie Qu, Yi Rong, Han Qiu, Qi Li, Zongpeng Li, Chao Zhang
ACM/IEEE Design Automation Conference (DAC), 2023, (CCF-A)
jTrans: Jump-Aware Transformer for Binary Code Similarity Detection [paper] [code] [media report(Chinese)]
Hao Wang*, Wenjie Qu*, Gilad Katz, Wenyu Zhu, Zeyu Gao, Han Qiu, Jianwei Zhuge, Chao
Zhang
International Symposium on Software Testing and Analysis(ISSTA), 2022, (CCF-A)
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples [paper]
[code]
Jinyuan Jia*, Wenjie Qu*, Neil Gong
Advances in Neural Information Processing Systems(NeurIPS), 2022, Spotlight, (CCF-A)
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning [paper]
Hongbin Liu*, Jinyuan Jia*, Wenjie Qu, Neil Gong
ACM Conference on Computer and Communications Security(CCS), 2021, (CCF-A)
Journal Reviewer IoT-J, TIFS
Reviewer ICML 2022, MM 2024
Sub-Reviewer PKC 2024
2023 NUS President's Graduate Fellowship
2020 National Scholarship
2018 National Olympiad in Informatics Winter Camp, Bronze Medal