activity
20142023
most citedBi-level Protected Compressive Sampling

89 citations · 145 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CR2023★ 4 cited

Visual Content Privacy Protection: A Survey

Ruoyu Zhao, Yushu Zhang, Tao Wang +3

Vision is the most important sense for people, and it is also one of the main ways of cognition. As a result, people tend to utilize visual content to capture and share their life…

cs.CR2021★ 6 cited

FairCMS: Cloud Media Sharing with Fair Copyright Protection

Xiangli Xiao, Yushu Zhang, Leo Yu Zhang +3

The onerous media sharing task prompts resource-constrained media owners to seek help from a cloud platform, i.e., storing media contents in the cloud and letting the cloud do the…

cs.MM2020

A multi-level approach with visual information for encrypted H.265/HEVC videos

Wenying Wen, Rongxin Tu, Yushu Zhang +2

High-efficiency video coding (HEVC) encryption has been proposed to encrypt syntax elements for the purpose of video encryption. To achieve high video security, to the best of our…

cs.CV2019★ 15 cited

Indoor image representation by high-level semantic features

Chiranjibi Sitaula, Yong Xiang, Yushu Zhang +2

Indoor image features extraction is a fundamental problem in multiple fields such as image processing, pattern recognition, robotics and so on. Nevertheless, most of the existing f…

cs.CR2015★ 2 cited

On the security of a class of diffusion mechanisms for image encryption

Leo Yu Zhang, Yuansheng Liu, Kwok-Wo Wong +4

The need for fast and strong image cryptosystems motivates researchers to develop new techniques to apply traditional cryptographic primitives in order to exploit the intrinsic fea…

cs.CR2015★ 1 cited

Chosen-plaintext attack of an image encryption scheme based on modified permutation-diffusion structure

Yuansheng Liu, Leo Yu Zhang, Jia Wang +2

Since the first appearance in Fridrich's design, the usage of permutation-diffusion structure for designing digital image cryptosystem has been receiving increasing research attent…

cs.CR2014

Joint Quantization and Diffusion for Compressed Sensing Measurements of Natural Images

Leo Yu Zhang, Kwok-Wo Wong, Yushu Zhang +1

Recent research advances have revealed the computational secrecy of the compressed sensing (CS) paradigm. Perfect secrecy can also be achieved by normalizing the CS measurement vec…

cs.IT2014★ 89 cited

Bi-level Protected Compressive Sampling

Leo Yu Zhang, Kwok-Wo Wong, Yushu Zhang +1

Some pioneering works have investigated embedding cryptographic properties in compressive sampling (CS) in a way similar to one-time pad symmetric cipher. This paper tackles the pr…

cs.CR2014★ 24 cited

Robust Coding of Encrypted Images via Structural Matrix

Yushu Zhang, Kwok-Wo Wong, Leo Yu Zhang +1

The robust coding of natural images and the effective compression of encrypted images have been studied individually in recent years. However, little work has been done in the robu…

cs.CR2014★ 4 cited

Embedding Cryptographic Features in Compressive Sensing

Yushu Zhang, Kwok-Wo Wong, Di Xiao +2

Compressive sensing (CS) has been widely studied and applied in many fields. Recently, the way to perform secure compressive sensing (SCS) has become a topic of growing interest. T…