4 citations · 7 across the 4 of their papers we have counts for
4 papers
Deep 3D Mesh Watermarking with Self-Adaptive Robustness
Feng Wang, Hang Zhou, Han Fang +4
Robust 3D mesh watermarking is a traditional research topic in computer graphics, which provides an efficient solution to the copyright protection for 3D meshes. Traditionally, res…
Exploring Structure Consistency for Deep Model Watermarking
Jie Zhang, Dongdong Chen, Jing Liao +5
The intellectual property (IP) of Deep neural networks (DNNs) can be easily ``stolen'' by surrogate model attack. There has been significant progress in solutions to protect the IP…
Model Watermarking for Image Processing Networks
Jie Zhang, Dongdong Chen, Jing Liao +5
Deep learning has achieved tremendous success in numerous industrial applications. As training a good model often needs massive high-quality data and computation resources, the lea…
DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense
Hang Zhou, Kejiang Chen, Weiming Zhang +3
Neural networks are vulnerable to adversarial examples, which poses a threat to their application in security sensitive systems. We propose a Denoiser and UPsampler Network (DUP-Ne…