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Guobiao Li

7 accepted papers

2025

Embedding Robust Watermarking into Pattern to Protect the Copyright of Ceramic Artifacts

AAAI 2025technical

Ceramic artworks with elegant patterns present enormous collectible value and profits. To claim the copyright, the builder usually pastes their conspicuous stamp on the bottom or side of the ceramic artworks, which inevitably affects the external image of the artwork. In addition, the stamp is weak…

Cited by 0SourcePDFScholar
2025

Filtering Resistant Large Language Model Watermarking via Style Injection

ICASSP 2025accepted

The exorbitant cost of training Large Language Models (LLMs) makes it essential to protect the models from illegal copying and unauthorized usage. Recent attempts at LLM protection utilize black-box watermarking schemes, which embed distinctive input-output mapping (i.e., trigger set) directly into…

Cited by 0SourceScholar
2025

Fine-grained Prompt Screening: Defending Against Backdoor Attack on Text-to-Image Diffusion Models

IJCAI 2025

Text-to-image (T2I) diffusion models exhibit impressive generation capabilities in recently studies. However, they are vulnerable to backdoor attacks, where model outputs are manipulated by malicious triggers. In this paper, we propose a novel input-level defense method, called Fine-grained Prompt S

Cited by 0SourcePDFScholar
2025

Physical Marker: Revealing Invisible Hyperlinks Hidden in Printed Trademarks

AAAI 2025technical

Embedding links in brand logos is a promising technology, which allows consumers to access the online information of products by capturing physical logo images. Previous physical data hiding methods primarily embed data within cover media in a global manner, making them ineffective for processing br…

Cited by 0SourcePDFScholar
2024

Purified and Unified Steganographic Network

CVPR 2024poster

Steganography is the art of hiding secret data into the cover media for covert communication. In recent years more and more deep neural network (DNN)-based steganographic schemes are proposed to train steganographic networks for secret embedding and recovery which are shown to be promising. Compared…

2023

Steganography of Steganographic Networks

AAAI 2023technical

Steganography is a technique for covert communication between two parties. With the rapid development of deep neural networks (DNN), more and more steganographic networks are proposed recently, which are shown to be promising to achieve good performance. Unlike the traditional handcrafted steganogra…