Wenjie Qu Email: wenjiequ@u.nus.edu Google Scholar   Curriculum Vitae

About Me

Hi! I am a PhD candidate in Computer Science at the National University of Singapore, fortunately advised by Prof. Jiaheng Zhang. I had the privilege of working with Prof. Dawn Song (UC Berkeley), Prof. Neil Gong (Duke University), and Prof. Chao Zhang (Tsinghua University). I have also interned at Microsoft Research.

My research broadly spans AI security and applied cryptography, with a focus on building secure, verifiable, and auditable AI systems.

I am always open to collaborations. If you share similar interests, feel free to email me.

Education

• PhD (ongoing), National University of Singapore

• B.E., Huazhong University of Science and Technology

Publications

• VerfCNN, Optimal Complexity zkSNARK for Convolutional Neural Networks [paper] [code]
  Wenjie Qu*, Yanpei Guo*, Yue Ying, Jiaheng Zhang
  IEEE Symposium on Security and Privacy (S&P), 2026

• Celer: A Lookup Argument for Large-Scale Queries
  Wenjie Qu*, Yanpei Guo*, Zhen Xuan, Xuanming Liu, Jiaheng Zhang
  CRYPTO, 2026

• V3DB: Audit-on-Demand Zero-Knowledge Proofs for Verifiable Vector Search over Committed Snapshots [paper] [code]
  Zipeng Qiu*, Wenjie Qu*, Jiaheng Zhang, Binhang Yuan
  VLDB, 2026

• AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing [paper] [code]
  Yuexin Li*, Wenjie Qu*, Linyu Wu, Yulin Chen, Yufei He, Tri Cao, Bryan Hooi, Jiaheng Zhang
  ICML, 2026

• Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems [paper] [code]
  Yuhao Wang*, Wenjie Qu*, Shengfang Zhai, Yanze Jiang, Zichen Liu, Yue Liu, Yinpeng Dong, Jiaheng Zhang
  ICLR, 2026

• TensorZKP: Repurposing GPU Tensor Cores for High-Performance Zero-Knowledge Proofs [paper]
  Tao Lu, Jipeng Zhang, Yanpei Guo, Xuanming Liu, Wenjie Qu, Zonghui Wang, Wenzhi Chen, Jiaheng Zhang
  USENIX Security, 2026

• Melior, Verifiable Mixed-Integer Programming based on zkSNARKs
  Wenjie Qu*, Yanze Jiang*, Yanpei Guo, Jiaheng Zhang
  CCS, 2026

• Rarus: A Succinct and Efficient Range Proof for Polynomial-based Vector Commitment [paper]
  Xinyang Yang*, Wenjie Qu*, Yanpei Guo, Jiaheng Zhang
  USENIX Security, 2026

• UltraProofs: Scalable Reed-Solomon Code Commitment [paper]
  Yanpei Guo, Alex Xiong, Wenjie Qu, Jiaheng Zhang
  IEEE Symposium on Security and Privacy (S&P), 2026

• 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

• 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

• 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
  IEEE Symposium on Security and Privacy (S&P), 2025

• Reliable and Responsible Foundation Models [paper]
  Xinyu Yang*, Junlin Han*, Rishi Bommasani*, Jinqi Luo*, Wenjie Qu*, Wangchunshu Zhou*, et al.
  TMLR, 2025

• Efficient Input-level Backdoor Defense on Text-to-Image Synthesis via Neuron Activation Variation [paper] [code]
  Shengfang Zhai, Jiajun Li, Yue Liu, Huanran Chen, Zhihua Tian, Wenjie Qu, Qingni Shen, Ruoxi Jia, Yinpeng Dong, Jiaheng Zhang
  ICCV, 2025, Highlight

• DeepFold: Efficient Multilinear Polynomial Commitment from Reed-Solomon Code and Its Application to Zero-knowledge Proofs [paper]
  Yanpei Guo, Xuanming Liu, Kexi Huang, Wenjie Qu, Tianyang Tao, Jiaheng Zhang
  USENIX Security, 2025

• HyperPianist: Pianist with Linear-Time Prover and Logarithmic Communication Cost [paper]
  Chongrong Li, Pengfei Zhu, Yun Li, Cheng Hong, Wenjie Qu, Jiaheng Zhang
  IEEE Symposium on Security and Privacy (S&P), 2025

• REaaS: Enabling Adversarially Robust Downstream Classifiers via Robust Encoder as a Service [paper]
  Wenjie Qu, Jinyuan Jia, Neil Gong
  NDSS, 2023

• MPass: Bypassing Learning-based Static Malware Detectors [paper]
  Jialai Wang, Wenjie Qu, Yi Rong, Han Qiu, Qi Li, Zongpeng Li, Chao Zhang
  DAC, 2023

• MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples [paper] [code]
  Jinyuan Jia*, Wenjie Qu*, Neil Gong
  NeurIPS, 2022, Spotlight

• jTrans: Jump-Aware Transformer for Binary Code Similarity Detection [paper] [code]
  Hao Wang*, Wenjie Qu*, Gilad Katz, Wenyu Zhu, Zeyu Gao, Han Qiu, Jianwei Zhuge, Chao Zhang
  ISSTA, 2022

• EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning [paper]
  Hongbin Liu*, Jinyuan Jia*, Wenjie Qu, Neil Gong
  CCS, 2021

Academic Service

• Program Committee: CCS (2025, 2026), USENIX Security 2027

• Journal Reviewer: IoT-J, TIFS

• Reviewer: ICML 2022, MM 2024, COLM 2025, NeurIPS 2025

• Sub-Reviewer: PKC 2024

Selected Awards and Honors

• 2026 ML and Systems Rising Stars (39 recipients globally, one of only two from Asian institutions)

• 2026 Apple AI/ML PhD Fellowship Nomination (top 3 in NUS)

• 2025 Dean's Graduate Research Excellence Award (top 7 in department)

• 2025 DAAD AInet Fellowship

• 2025 Ant Group InTech Scholarship Future (10 recipients globally)

• 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

Misc

Outside of research, I enjoy playing chess, a variety of board games, bridge, working out, and reading novels.