290 citations · 1k across the 14 of their papers we have counts for
14 papers
Evading Detection Actively: Toward Anti-Forensics against Forgery Localization
Long Zhuo, Shenghai Luo, Shunquan Tan +3
Anti-forensics seeks to eliminate or conceal traces of tampering artifacts. Typically, anti-forensic methods are designed to deceive binary detectors and persuade them to misjudge…
STD-NET: Search of Image Steganalytic Deep-learning Architecture via Hierarchical Tensor Decomposition
Shunquan Tan, Qiushi Li, Laiyuan Li +2
Recent studies shows that the majority of existing deep steganalysis models have a large amount of redundancy, which leads to a huge waste of storage and computing resources. The e…
Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization
Long Zhuo, Shunquan Tan, Bin Li +1
Image editing techniques enable people to modify the content of an image without leaving visual traces and thus may cause serious security risks. Hence the detection and localizati…
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…
Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image
Xinghong Qin, Shunquan Tan, Bin Li +2
Nowadays a steganography has to face challenges of both feature based staganalysis and convolutional neural network (CNN) based steganalysis. In this paper, we present a novel steg…
Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture
Benedetta Tondi, Andrea Costranzo, Dequ Huang +1
Estimating the primary quantization matrix of double JPEG compressed images is a problem of relevant importance in image forensics since it allows to infer important information ab…