4 citations · 9 across the 7 of their papers we have counts for
7 papers
Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling
Shaowei Wang, Changyu Dong, Xiangfu Song +4
In data-driven applications, preserving user privacy while enabling valuable computations remains a critical challenge. Technologies like differential privacy have been pivotal in…
A Dynamic YOLO-Based Sequence-Matching Model for Efficient Coverless Image Steganography
Jiajun Liu, Lina Tan, Zhili Zhou +2
Many existing coverless steganography methods establish a mapping relationship between cover images and hidden data. There exists an issue that the number of images stored in the d…
GanFinger: GAN-Based Fingerprint Generation for Deep Neural Network Ownership Verification
Huali Ren, Anli Yan, Xiaojun Ren +4
Deep neural networks (DNNs) are extensively employed in a wide range of application scenarios. Generally, training a commercially viable neural network requires significant amounts…
Traceable and Authenticable Image Tagging for Fake News Detection
Ruohan Meng, Zhili Zhou, Qi Cui +2
To prevent fake news images from misleading the public, it is desirable not only to verify the authenticity of news images but also to trace the source of fake news, so as to provi…
Auto-Focus Contrastive Learning for Image Manipulation Detection
Wenyan Pan, Zhili Zhou, Guangcan Liu +3
Generally, current image manipulation detection models are simply built on manipulation traces. However, we argue that those models achieve sub-optimal detection performance as it…
Secret-to-Image Reversible Transformation for Generative Steganography
Zhili Zhou, Yuecheng Su, Q. M. Jonathan Wu +2
Recently, generative steganography that transforms secret information to a generated image has been a promising technique to resist steganalysis detection. However, due to the inef…
Learning Hierarchical Graph Representation for Image Manipulation Detection
Wenyan Pan, Zhili Zhou, Miaogen Ling +2
The objective of image manipulation detection is to identify and locate the manipulated regions in the images. Recent approaches mostly adopt the sophisticated Convolutional Neural…