Search Results for author: Zhengyuan Jiang

Found 5 papers, 2 papers with code

Stable Signature is Unstable: Removing Image Watermark from Diffusion Models

no code implementations12 May 2024 Yuepeng Hu, Zhengyuan Jiang, Moyang Guo, Neil Gong

Our results show that our attack can effectively remove the watermark from a diffusion model such that its generated images are non-watermarked, while maintaining the visual quality of the generated images.

Watermark-based Detection and Attribution of AI-Generated Content

no code implementations5 Apr 2024 Zhengyuan Jiang, Moyang Guo, Yuepeng Hu, Neil Zhenqiang Gong

Several companies--such as Google, Microsoft, and OpenAI--have deployed techniques to watermark AI-generated content to enable proactive detection.

A Transfer Attack to Image Watermarks

no code implementations22 Mar 2024 Yuepeng Hu, Zhengyuan Jiang, Moyang Guo, Neil Gong

The robustness of such watermark-based detector against evasion attacks in the white-box and black-box settings is well understood in the literature.

Evading Watermark based Detection of AI-Generated Content

1 code implementation5 May 2023 Zhengyuan Jiang, Jinghuai Zhang, Neil Zhenqiang Gong

Specifically, a watermark is embedded into an AI-generated content before it is released.

CLMB: deep contrastive learning for robust metagenomic binning

1 code implementation18 Nov 2021 Pengfei Zhang, Zhengyuan Jiang, YiXuan Wang, Yu Li

Essentially, instead of denoising the data explicitly, we add simulated noise to the training data and force the deep learning model to produce similar and stable representations for both the noise-free data and the distorted data.

Benchmarking Contrastive Learning +1

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