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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

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Showing 2021Show all

6 papers · 1 filter

cs.CV2021★ 1 cited

Reversible Attack based on Local Visual Adversarial Perturbation

Li Chen, Shaowei Zhu, Zhaoxia Yin

Adding perturbations to images can mislead classification models to produce incorrect results. Recently, researchers exploited adversarial perturbations to protect image privacy fr…

cs.MM2021★ 49 cited

High Capacity Reversible Data Hiding in Encrypted 3D Mesh Models Based on Multi-MSB Prediction

Wanli Lv, Lulu Cheng, Zhaoxia Yin

As a new generation of digital media for covert transmission, three-dimension (3D) mesh models are frequently used and distributed on the network. Facing the huge massive of networ…

cs.MM2021

On the Robustness of "Robust reversible data hiding scheme based on two-layer embedding strategy"

Wen Yin, Longfei Ke, Zhaoxia Yin +2

In the paper "Robust reversible data hiding scheme based on two-layer embedding strategy" published in INS recently, Kumar et al. proposed a robust reversible data hiding (RRDH) sc…

cs.MM2021★ 2 cited

High-Capacity Reversible Data Hiding in Encrypted Images using Adaptive Encoding

Wenjing Ma, Youqing Wu, Zhaoxia Yin

With the popularization of digital information technology, the reversible data hiding in encrypted images (RDHEI) has gradually become the research hotspot of privacy protection in…

cs.CV2021★ 2 cited

PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack

Jie Wang, Zhaoxia Yin, Jin Tang +2

The studies on black-box adversarial attacks have become increasingly prevalent due to the intractable acquisition of the structural knowledge of deep neural networks (DNNs). Howev…

cs.CV2021

Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization

Jie Wang, Zhaoxia Yin, Jing Jiang +1

Fooling deep neural networks (DNNs) with the black-box optimization has become a popular adversarial attack fashion, as the structural prior knowledge of DNNs is always unknown. Ne…