Zhengyuan Jiang

According to our database, Zhengyuan Jiang authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

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

AudioMarkBench: Benchmarking Robustness of Audio Watermarking.

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

A Transfer Attack to Image Watermarks.

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

CoRR, 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