15 citations · 20 across the 14 of their papers we have counts for
7 papers · 1 filter
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers
Ruofei Wang, Hongzhan Lin, Ziyuan Luo +4
Hateful meme detection aims to prevent the proliferation of hateful memes on various social media platforms. Considering its impact on social environments, this paper introduces a…
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting
Xiufeng Huang, Ruiqi Li, Yiu-ming Cheung +3
3D Gaussian Splatting (3DGS) has become a crucial method for acquiring 3D assets. To protect the copyright of these assets, digital watermarking techniques can be applied to embed…
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images
Qi Song, Ziyuan Luo, Ka Chun Cheung +2
Single-view 3D reconstruction methods like Triplane Gaussian Splatting (TGS) have enabled high-quality 3D model generation from just a single image input within seconds. However, t…
GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields
Xiufeng Huang, Ka Chun Cheung, Simon See +1
Remarkable advancements in the recolorization of Neural Radiance Fields (NeRF) have simplified the process of modifying NeRF's color attributes. Yet, with the potential of NeRF to…
Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model
Qi Song, Ziyuan Luo, Ka Chun Cheung +2
Neural Radiance Fields (NeRFs) have become a key method for 3D scene representation. With the rising prominence and influence of NeRF, safeguarding its intellectual property has be…
TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction
Xingzhi Zhou, Xin Dong, Chunhao Li +8
Traditional Chinese medicine (TCM) has relied on specific combinations of herbs in prescriptions to treat various symptoms and signs for thousands of years. Predicting TCM prescrip…
RegionGPT: Towards Region Understanding Vision Language Model
Qiushan Guo, Shalini De Mello, Hongxu Yin +5
Vision language models (VLMs) have experienced rapid advancements through the integration of large language models (LLMs) with image-text pairs, yet they struggle with detailed reg…