Jie Zhang* — accepted AI-conference papers

2024

Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Runyi Hu, Jie Zhang*, Ting Xu, Jiwei Li, Tianwei Zhang

ECCV 2024poster

"Instruction-driven image editing allows users to quickly edit an image according to text instructions in a forward pass. Nevertheless, malicious users can easily exploit this technique to create fake images, which could cause a crisis of trust and harm the rights of the original image owners. Water…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗

2024

T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models

Zhongqi Wang, Jie Zhang*, Shiguang Shan, Xilin Chen

ECCV 2024poster

"While text-to-image diffusion models demonstrate impressive generation capabilities, they also exhibit vulnerability to backdoor attacks, which involve the manipulation of model outputs through malicious triggers. In this paper, for the first time, we propose a comprehensive defense method named T2…

Cited by 19 Source ↗PDF ↗code ↗Scholar ↗