Zhengyuan Jiang

I'm a fourth-year Ph.D. student in Electrical and Computer Engineering Department, Duke University, under the supervision of Prof. Neil Gong. Previously, I obatined my B.Eng. degree from University of Science and Technology of China (USTC) in 2022. I worked with Prof. Yu Li at CUHK in summer 2021. My research focuses on Trustworthy Generative AI.

Email  /  Google Scholar  /  Github  /  Twitter  /  LinkedIn

• Jan, 2026. “Watermark-based Attribution of AI-Generated Content” is accepted by ICLR 2026!
• Jan, 2026. “Jailbreaking Safeguarded Text-to-Image Models via Large Language Models” is accepted by EACL 2026 (Findings)!
• Jan, 2025. “A Transfer Attack to Image Watermarks” is accepted by ICLR 2025!
• Sep, 2024. “AudioMarkBench: Benchmarking Robustness of Audio Watermarking” is accepted by NeurIPS DB Track 2024! Code is available on GitHub!
• Jul, 2024. “Certifiably Robust Image Watermark” is accepted by ECCV 2024! Code is available on GitHub!
• Sep, 2023. “Evading Watermark based Detection of AI-Generated Content” is accepted by CCS 2023!
• May, 2023. “Evading Watermark based Detection of AI-Generated Content” is available on ArXiv and GitHub!
• Jul, 2022. I received a B.Eng. from USTC, Information Science and Technology Elite Class!

Watermark-based Attribution of AI-Generated Content
Zhengyuan Jiang, Moyang Guo, Yuepeng Hu, Yupu Wang, Neil Zhenqiang Gong
International Conference on Learning Representations (ICLR), 2026.

Jailbreaking Safeguarded Text-to-Image Models via Large Language Models
Zhengyuan Jiang, Yuepeng Hu, Yuchen Yang, Yinzhi Cao, Neil Zhenqiang Gong
Findings of European Chapter of the Association for Computational Linguistics (EACL), 2026.

A Transfer Attack to Image Watermarks
Yuepeng Hu, Zhengyuan Jiang, Moyang Guo, Neil Zhenqiang Gong
International Conference on Learning Representations (ICLR), 2025.

AudioMarkBench: Benchmarking Robustness of Audio Watermarking
Hongbin Liu, Moyang Guo, Zhengyuan Jiang, Lun Wang, Neil Zhenqiang Gong
NeurIPS Datasets and Benchmarks Track, 2024. [Code]

Certifiably Robust Image Watermark
Zhengyuan Jiang, Moyang Guo, Yuepeng Hu, Jinyuan Jia, Neil Zhenqiang Gong
European Conference on Computer Vision (ECCV), 2024. [Code]

Evading Watermark based Detection of AI-Generated Content
Zhengyuan Jiang, Jinghuai Zhang, Neil Zhenqiang Gong
ACM Conference on Computer and Communications Security (CCS), 2023. [Code]

IPCert: Provably Robust Intellectual Property Protection for Machine Learning
Zhengyuan Jiang, Minghong Fang, Neil Zhenqiang Gong
International Conference on Computer Vision (ICCV) Workshop, 2023.

CLMB: Deep Contrastive Learning for Robust Metagenomic Binning
Pengfei Zhang, Zhengyuan Jiang, Yixuan Wang, Yu Li
International Conference on Research in Computational Molecular Biology (RECOMB), 2022. [Code]

EditTrack: Detecting and Attributing AI-assisted Image Editing
Zhengyuan Jiang, Yuyang Zhang, Moyang Guo, Neil Zhenqiang Gong

Fingerprinting LLMs via Prompt Injection
Yuepeng Hu, Zhengyuan Jiang, Mengyuan Li, Osama Ahmed, Zhicong Huang, Cheng Hong, Neil Gong

Safetext: Safe Text-to-Image Models via Aligning the Text Encoder
Yuepeng Hu, Zhengyuan Jiang, Neil Zhenqiang Gong

Stable Signature is Unstable: Removing Image Watermark from Diffusion Models
Yuepeng Hu, Zhengyuan Jiang, Moyang Guo, Neil Zhenqiang Gong

Securing the Future of GenAI: Policy and Technology
Mihai Christodorescu, Ryan Craven, Soheil Feizi, Neil Gong, Mia Hoffmann, Somesh Jha, Zhengyuan Jiang, Mehrdad Saberi Kamarposhti, John Mitchell, Jessica Newman, Emelia Probasco, Yanjun Qi, Khawaja Shams, Matthew Turek

May. 2021 - Nov. 2021: Research Intern, Artificial Intelligence in Healthcare (AIH) group, CUHK.

Conference Reviewer: ICLR 2026, 2025; CVPR 2026, AAAI 2026, NeurIPS 2025, ACMMM 2024, 2023.