activity
20182023
most citedReversible Data Hiding in Encrypted Images based on MSB Prediction and Huffman Coding

263 citations · 767 across the 31 of their papers we have counts for

collaborators
Showing 2019Show all

10 papers · 1 filter

cs.MM2019★ 8 cited

Reversible Data Hiding in Encrypted Images based on Pixel Prediction and Bit-plane Compression

Zhaoxia Yin, Yinyin Peng, Youzhi Xiang

Reversible data hiding in encrypted images (RDHEI) receives growing attention because it protects the content of the original image while the embedded data can be accurately extrac…

eess.IV2019★ 12 cited

Reversible Adversarial Attack based on Reversible Image Transformation

Zhaoxia Yin, Hua Wang, Li Chen +2

In order to prevent illegal or unauthorized access of image data such as human faces and ensure legitimate users can use authorization-protected data, reversible adversarial attack…

cs.MM2019★ 8 cited

Separable Reversible Data Hiding Based on Integer Mapping and Multi-MSB Prediction for Encrypted 3D Mesh Models

Zhaoxia Yin, Na Xu, Feng Wang

Reversible data hiding in encrypted domain (RDH-ED) has received tremendous attention from the research community because data can be embedded into cover media without exposing it…

cs.MM2019

Image Encryption Algorithm Based on Facebook Social Network

Xiaoqing Liu, Yinyin Peng, Jie Wang +1

Facebook is the online social networks (OSNs) platform with the largest number of users in the world today, information protection based on Facebook social network platform have im…

cs.MM2019★ 194 cited

Reversible data hiding based on reducing invalid shifting of pixels in histogram shifting

Yujie Jia, Zhaoxia Yin, Xinpeng Zhang +1

In recent years, reversible data hiding (RDH), a new research hotspot in the field of information security, has been paid more and more attention by researchers. Most of the existi…

cs.MM2019★ 67 cited

Reversible Data Hiding in JPEG Images with Multi-objective Optimization

Zhaoxia Yin, Yuan Ji, Bin Luo

Among various methods of reversible data hiding (RDH) in JPEG images, the consideration in designing is only the image quality, but the image quality and the file size expansion ar…

cs.MM2019★ 8 cited

An Improved Reversible Data Hiding in Encrypted Images using Parametric Binary Tree Labeling

Youqing Wu, Youzhi Xiang, Yutang Guo +2

This work proposes an improved reversible data hiding scheme in encrypted images using parametric binary tree labeling(IPBTL-RDHEI), which takes advantage of the spatial correlatio…

cs.MM2019

Multiple reconstruction compression framework based on PNG image

Zhiqing Lu, Zhaoxia Yin, Bin Luo

It is shown that neural networks (NNs) achieve excellent performances in image compression and reconstruction. However, there are still many shortcomings in the practical applicati…

cs.CV2019

An Efficient Pre-processing Method to Eliminate Adversarial Effects

Hua Wang, Jie Wang, Zhaoxia Yin

Deep Neural Networks (DNNs) are vulnerable to adversarial examples generated by imposing subtle perturbations to inputs that lead a model to predict incorrect outputs. Currently, a…

cs.MM2019★ 65 cited

High Capacity Lossless Data Hiding in JPEG Bitstream Based on General VLC Mapping

Yang Du, Zhaoxia Yin, Xinpeng Zhang

JPEG is the most popular image format, which is widely used in our daily life. Therefore, reversible data hiding (RDH) for JPEG images is important. Most of the RDH schemes for JPE…