290 citations · 1.2k across the 32 of their papers we have counts for
16 papers · 1 filter
A Robust Image Steganographic Scheme against General Scaling Attacks
Qingliang Liu, Jiangqun Ni, Weizhe Zhang +2
Conventional covert image communication is assumed to transmit the message, in the securest way possible for a given payload, over lossless channels, and the associated steganograp…
MCTSteg: A Monte Carlo Tree Search-based Reinforcement Learning Framework for Universal Non-additive Steganography
Xianbo Mo, Shunquan Tan, Bin Li +1
Recent research has shown that non-additive image steganographic frameworks effectively improve security performance through adjusting distortion distribution. However, as far as w…
Deep Learning-based Forgery Attack on Document Images
Lin Zhao, Changsheng Chen, Jiwu Huang
With the ongoing popularization of online services, the digital document images have been used in various applications. Meanwhile, there have emerged some deep learning-based text…
Domain Generalization for Document Authentication against Practical Recapturing Attacks
Changsheng Chen, Shuzheng Zhang, Fengbo Lan +1
Recapturing attack can be employed as a simple but effective anti-forensic tool for digital document images. Inspired by the document inspection process that compares a questioned…
Universal Stego Post-processing for Enhancing Image Steganography
Bolin Chen, Weiqi Luo, Peijia Zheng +1
It is well known that the designing or improving embedding cost becomes a key issue for current steganographic methods. Unlike existing works, we propose a novel framework to enhan…
CALPA-NET: Channel-pruning-assisted Deep Residual Network for Steganalysis of Digital Images
Shunquan Tan, Weilong Wu, Zilong Shao +3
Over the past few years, detection performance improvements of deep-learning based steganalyzers have been usually achieved through structure expansion. However, excessive expanded…