About Me
I am a last-year Ph.D. student at Zhejiang University, supervised by Prof. Wenzhi Chen. I am currently a Visiting Graduate Researcher (VGR) at the University of Virginia, advised by Prof. Tianhao Wang. I got my Bachelor’s degree from Huazhong University of Science and Technology.
Research Interests
LLM Privacy and Security
Publications
Enhancing Meme Emotion Understanding with Multi-Level Modality Enhancement and Dual-Stage Modal Fusion
Yi Shi, Wenlong Meng, Zhenyuan Guo, Chengkun Wei, Wenzhi Chen; AAAI 2026 [PDF] [Code]
Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm
Yan Pang, Wenlong Meng, Xiaojing Liao, Tianhao Wang; NDSS 2026 [PDF] [Code]
GradEscape: A Gradient-Based Evader Against AI-Generated Text Detectors
Wenlong Meng, Shuguo Fan, Chengkun Wei, Min Chen, Yuwei Li, Yuanchao Zhang, Zhikun Zhang, Wenzhi Chen; USENIX Security 2025 [PDF] [Code]
R.R.: Unveiling LLM Training Privacy through Recollection and Ranking
Wenlong Meng, Zhenyuan Guo, Lenan Wu, Chen Gong, Wenyan Liu, Weixian Li, Chengkun Wei, Wenzhi Chen; ACL 2025 (Finding) [PDF] [Code]
Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy
Zhenyuan Guo, Yi Shi, Wenlong Meng, Chen Gong, Chengkun Wei, Wenzhi Chen; ACL 2025 (Finding) [PDF] [Code]
LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors
Chengkun Wei\(^*\), Wenlong Meng\(^*\), Zhikun Zhang, Min Chen, Minghu Zhao, Wenjing Fang, Lei Wang, Zihui Zhang, Wenzhi Chen; NDSS 2024, Distinguished Paper Award (4/140) [PDF] [Code]
DPMLBench: Holistic Evaluation of Differentially Private Machine Learning
Chengkun Wei\(^*\), Minghu Zhao\(^*\), Zhikun Zhang, Min Chen, Wenling Meng, Bo Liu, Yuan Fan, Wenzhi Chen; ACM CCS 2023 [PDF] [Code]
Pre-Print
Dialogue Injection Attack: Jailbreaking LLMs through Context Manipulation
Wenlong Meng, Fan Zhang, Wendao Yao, Zhenyuan Guo, Yuwei Li, Chengkun Wei, Wenzhi Chen; [PDF] [Code]
Awards
- NeurIPS 2024 LLM Privacy Challenge, Red-Team First Place
- NDSS 2024 Distinguished Paper
Volunteer
- IEEE T-IFS 2024 Reviewer
Last updated: Nov 20, 2025