activity
20142024
most citedEmbedding Cryptographic Features in Compressive Sensing

4 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20241 cited

Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales

Shuren Qi, Yushu Zhang, Chao Wang +3

Developing robust and interpretable vision systems is a crucial step towards trustworthy artificial intelligence. In this regard, a promising paradigm considers embedding task-requ…

cs.CR20231 cited

Turn Passive to Active: A Survey on Active Intellectual Property Protection of Deep Learning Models

Mingfu Xue, Leo Yu Zhang, Yushu Zhang +1

The intellectual property protection of deep learning (DL) models has attracted increasing serious concerns. Many works on intellectual property protection for Deep Neural Networks…

cs.CR20234 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.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.CR20144 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…