相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Multi-class blind steganalysis using deep residual networks
Anuradha Singhal et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2021)
FedSteg: A Federated Transfer Learning Framework for Secure Image Steganalysis
Hongwei Yang et al.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING (2021)
GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis
Tabares-Soto Reinel et al.
IEEE ACCESS (2021)
A Novel Convolutional Neural Network for Image Steganalysis With Shared Normalization
Songtao Wu et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2020)
Squeeze-and-Excitation Networks
Jie Hu et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
Application of Deep Learning for Early Screening of Colorectal Precancerous Lesions under White Light Endoscopy
Junbo Gao et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2020)
Reversible data hiding in encrypted images for coding channel based on adaptive steganography
Kunliang Yu et al.
IET IMAGE PROCESSING (2020)
Depth-Wise Separable Convolutions and Multi-Level Pooling for an Efficient Spatial CNN-Based Steganalysis
Ru Zhang et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2020)
Deep Residual Network for Steganalysis of Digital Images
Mehdi Boroumand et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2019)
Research on image steganography analysis based on deep learning
Ying Zou et al.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2019)
CNN-Based Adversarial Embedding for Image Steganography
Weixuan Tang et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2019)
Binary image steganography based on joint distortion measurement
Junhong Zhang et al.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2019)
Deep residual learning for image steganalysis
Songtao Wu et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
ReST-Net: Diverse Activation Modules and Parallel Subnets-Based CNN for Spatial Image Steganalysis
Bin Li et al.
IEEE SIGNAL PROCESSING LETTERS (2018)
Deep Learning Hierarchical Representations for Image Steganalysis
Jian Ye et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2017)
Xception: Deep Learning with Depthwise Separable Convolutions
Francois Chollet
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Structural Design of Convolutional Neural Networks for Steganalysis
Guanshuo Xu et al.
IEEE SIGNAL PROCESSING LETTERS (2016)
Random Projections of Residuals for Digital Image Steganalysis
Vojtech Holub et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2013)
Rich Models for Steganalysis of Digital Images
Jessica Fridrich et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2012)