1 citations · 3 across the 7 of their papers we have counts for
7 papers
StegaINR4MIH: steganography by implicit neural representation for multi-image hiding
Weina Dong, Jia Liu, Lifeng Chen +3
Multi-image hiding, which embeds multiple secret images into a cover image and is able to recover these images with high quality, has gradually become a research hotspot in the fie…
NeR-VCP: A Video Content Protection Method Based on Implicit Neural Representation
Yangping Lin, Yan Ke, Ke Niu +2
With the popularity of video applications, the security of video content has emerged as a pressing issue that demands urgent attention. Most video content protection methods mainly…
Image steganography based on generative implicit neural representation
Zhong Yangjie, Liu Jia, Ke Yan +1
In the realm of advanced steganography, the scale of the model typically correlates directly with the resolution of the fundamental grid, necessitating the training of a distinct n…
Hiding Functions within Functions: Steganography by Implicit Neural Representations
Jia Liu, Peng Luo, Yan Ke +3
Deep steganography utilizes the powerful capabilities of deep neural networks to embed and extract messages, but its reliance on an additional message extractor limits its practica…
MarkNerf:Watermarking for Neural Radiance Field
Lifeng Chen, Jia Liu, Yan Ke +3
A watermarking algorithm is proposed in this paper to address the copyright protection issue of implicit 3D models. The algorithm involves embedding watermarks into the images in t…
Steganography for Neural Radiance Fields by Backdooring
Weina Dong, Jia Liu, Yan Ke +3
The utilization of implicit representation for visual data (such as images, videos, and 3D models) has recently gained significant attention in computer vision research. In this le…
Steganography Security: Principle and Practice
Yan Ke, Jia Liu, Min-qing Zhang +2
This paper focuses on several theoretical issues and principles in steganography security, and defines four security levels by analyzing the corresponding algorithm instances. In t…