405 citations · 409 across the 4 of their papers we have counts for
4 papers
Green Steganalyzer: A Green Learning Approach to Image Steganalysis
Yao Zhu, Xinyu Wang, Hong-Shuo Chen +2
A novel learning solution to image steganalysis based on the green learning paradigm, called Green Steganalyzer (GS), is proposed in this work. GS consists of three modules: 1) pix…
A-PixelHop: A Green, Robust and Explainable Fake-Image Detector
Yao Zhu, Xinyu Wang, Hong-Shuo Chen +2
A novel method for detecting CNN-generated images, called Attentive PixelHop (or A-PixelHop), is proposed in this work. It has three advantages: 1) low computational complexity and…
Efficient Image Splicing Localization via Contrastive Feature Extraction
Ronald Salloum, C. -C. Jay Kuo
In this work, we propose a new data visualization and clustering technique for discovering discriminative structures in high-dimensional data. This technique, referred to as cPCA++…
Image Splicing Localization Using A Multi-Task Fully Convolutional Network (MFCN)
Ronald Salloum, Yuzhuo Ren, C. -C. Jay Kuo
In this work, we propose a technique that utilizes a fully convolutional network (FCN) to localize image splicing attacks. We first evaluated a single-task FCN (SFCN) trained only…