Zhengyuan Jiang

According to our database, Zhengyuan Jiang authored at least 21 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Robustness of Vision Foundation Models to Common Perturbations.

Hongbin Liu, Zhengyuan Jiang, Cheng Hong, Neil Zhenqiang Gong

CoRR, April, 2026

Benchmarking Vision-Language Models under Contradictory Virtual Content Attacks in Augmented Reality.

Yanming Xiu, Zhengyuan Jiang, Neil Zhenqiang Gong, Maria Gorlatova

CoRR, April, 2026

Jailbreaking Safeguarded Text-to-Image Models via Large Language Models.

Zhengyuan Jiang, Yuepeng Hu, Yuchen Yang, Yinzhi Cao, Neil Zhenqiang Gong

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Fingerprinting LLMs via Prompt Injection.

Yuepeng Hu, Zhengyuan Jiang, Mengyuan Li, Osama Ahmed, Zhicong Huang, Cheng Hong, Neil Zhenqiang Gong

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

A Comprehensive Survey of Website Fingerprinting Attacks and Defenses in Tor: Advances and Open Challenges.

Yuwen Cui, Guangjing Wang, Khanh Vu, Kai Wei, Kehan Shen, Zhengyuan Jiang, Xiao Han, Ning Wang, Zhuo Lu, Yao Liu

CoRR, October, 2025

EditTrack: Detecting and Attributing AI-assisted Image Editing.

Zhengyuan Jiang, Yuyang Zhang, Moyang Guo, Neil Zhenqiang Gong

CoRR, October, 2025

VideoMarkBench: Benchmarking Robustness of Video Watermarking.

Zhengyuan Jiang, Moyang Guo, Kecen Li, Yuepeng Hu, Yupu Wang, Zhicong Huang, Cheng Hong, Neil Zhenqiang Gong

CoRR, May, 2025

SafeText: Safe Text-to-image Models via Aligning the Text Encoder.

Yuepeng Hu, Zhengyuan Jiang, Neil Zhenqiang Gong

CoRR, February, 2025

A Transfer Attack to Image Watermarks.

Yuepeng Hu, Zhengyuan Jiang, Moyang Guo, Neil Zhenqiang Gong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BoBa: Boosting Backdoor Detection Through Data Distribution Inference in Federated Learning.

Zhengyuan Jiang, Xingyu Lyu, Shanghao Shi, Yang Xiao, Yimin Chen, Y. Thomas Hou, Wenjing Lou, Ning Wang

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

Multiple-in-Single-Out Object Detector Leveraging Spiking Neural Membrane Systems and Multiple Transformers.

Zhengyuan Jiang, Siyan Sun, Hong Peng, Zhicai Liu, Jun Wang

Int. J. Neural Syst., July, 2024

Securing the Future of GenAI: Policy and Technology.

Mihai Christodorescu, Ryan Craven, Soheil Feizi, Neil Zhenqiang Gong, Mia Hoffmann, Somesh Jha, Zhengyuan Jiang, Mehrdad Saberi Kamarposhti, John C. Mitchell, Jessica Newman, Emelia Probasco, Yanjun Qi, Khawaja Shams, Matthew Turek

IACR Cryptol. ePrint Arch., 2024

AI-generated Image Detection: Passive or Watermark?

Moyang Guo, Yuepeng Hu, Zhengyuan Jiang, Zeyu Li, Amir Sadovnik, Arka Daw, Neil Gong

CoRR, 2024

Stable Signature is Unstable: Removing Image Watermark from Diffusion Models.

Yuepeng Hu, Zhengyuan Jiang, Moyang Guo, Neil Zhenqiang Gong

CoRR, 2024

Watermark-based Detection and Attribution of AI-Generated Content.

Zhengyuan Jiang, Moyang Guo, Yuepeng Hu, Neil Zhenqiang Gong

CoRR, 2024

AudioMarkBench: Benchmarking Robustness of Audio Watermarking.

Hongbin Liu, Moyang Guo, Zhengyuan Jiang, Lun Wang, Neil Gong

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Certifiably Robust Image Watermark.

Zhengyuan Jiang, Moyang Guo, Yuepeng Hu, Jinyuan Jia, Neil Zhenqiang Gong

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

IPCert: Provably Robust Intellectual Property Protection for Machine Learning.

Zhengyuan Jiang, Minghong Fang, Neil Zhenqiang Gong

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Evading Watermark based Detection of AI-Generated Content.

Zhengyuan Jiang, Jinghuai Zhang, Neil Zhenqiang Gong

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

CLMB: Deep Contrastive Learning for Robust Metagenomic Binning.

Pengfei Zhang, Zhengyuan Jiang, Yixuan Wang, Yu Li

Proceedings of the Research in Computational Molecular Biology, 2022

2021

CLMB: deep contrastive learning for robust metagenomic binning.

Pengfei Zhang, Zhengyuan Jiang, Yixuan Wang, Yu Li

CoRR, 2021