About Me

Hello, I am Peizhuo Lv (吕培卓 in Chinese), a Research Fellow at Nanyang Technological University, co-advised by Prof. Wei Dong, Prof. Xiaofeng Wang, and Prof. Tianwei Zhang. I received my Ph. D. degree from Institute of Information Engineering, Chinese Academy of Sciences, where I was supervised by Prof. Kai Chen and Prof. Shengzhi Zhang from 2020 to 2025. Before that, I received my B.S. degree from the School of Computer Science and Technology, Xidian University, from 2016 to 2020.

My main research interests include AI security, Neural Network watermark, Backdoor attack, Data privacy, and Adversarial attack. Now, I am interested in the security problems of large models.

Emails: lvpeizhuo at gmail.com; peizhuo.lyu at ntu.edu.sg

Profile Links: Google Scholar, Semantic Scholar

Research Areas:

Backdoor Attacks and Defense: USENIX Security'23, USENIX Security'23, AAAI'24, ICME'23, ECAI'23
Deep Neural Network Watermarks: MM'25, KDD'25, S&P'24, NDSS'24, TDSC'23, 计算机研究与发展'21
Large Model Security and Privacy: CCS'25, RAID'24, AAAI'25, ICASSP'25

News:

06/2025: Honored to be invited to serve on the Program Committee of CCS 2025 Poster/Demo.
05/2025: I am invited as a PC Member in AISec 2025.
05/2025: One paper "An Efficient White-box LLM Watermarking for IP Protection on Online Market Platforms" is accepted by 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Congratulations to Shuguang.
05/2025: One paper "RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models" is accepted by the ACM Conference on Computer and Communications Security (CCS) 2025. Thanks to all co-authors.
01/2025: I received my Ph.D. degree from UCAS. I am grateful to Prof. Kai Chen and Assoc. Prof. Shengzhi Zhang for their supervision.
12/2024: One paper "A MODEL STEALING ATTACK AGAINST MULTI-EXIT NETWORKS" is accepted by the 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025). Congratulations to Pan.
12/2024: One paper "RepeatLeakage: leak prompts from repeating as Large language model is a good repeater" is accepted by Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25). Congratulations to Yu, and Lijie.
11/2024-now: I serve as a reviewer for IEEE Transactions on Information Forensics and Security (IEEE TIFS).
07/2024: One paper "KGDist: A Prompt-Based Distillation Attack against LMs Augmented with Knowledge Graphs" is accepted by the 27th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2024). Congratulations to Hualong, Jiachen.
01/2024: I am invited by SHUZIHUANYU to give a talk about deep learning watermarks. The video of the talk is available.
12/2023: One paper "DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models" is accepted by Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024). Congratulations to Jiachen, Yibing, and Hualong.
11/2023: One paper "SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-Supervised Learning" is accepted by The Network and Distributed System Security Symposium (NDSS) 2024.
10/2023: One paper "MEA-Defender: A Robust Watermark against Model Extraction Attack" is accepted by IEEE Symposium on Security and Privacy (S&P) 2024.
10/2023: I serve as a reviewer for AAAI 2024.
07/2023: One paper "Invisible Backdoor Attacks Using Data Poisoning in Frequency Domain" is accepted by ECAI 2023. Congratulations to Chang.
06/2023: I serve as a reviewer for ECAI 2023.

05/2023: One paper "Aliasing Backdoor Attacks on Pre-trained Models" is accepted by USENIX Security 2023. Congratulations to Chengan.
01/2023: One paper "A Data-free Backdoor Injection Approach in Neural Networks" is accepted by USENIX Security 2023.
01/2023: One paper "A Robustness-Assured White-Box Watermark in Neural Networks" is accepted as a regular paper by IEEE TDSC.
07/2022-now: I serve as a reviewer for IEEE Transactions on Dependable and Secure Computing (IEEE TDSC).

Moreover, I am always willing to project co-operations. Feel free to drop me an email if you have any ideas or suitable opportunities to discuss!

Please click the headers above for more information about me or contact me, thanks.