9 citations · 38 across the 12 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CV2018★ 1 cited
Adversarial Learning for Image Forensics Deep Matching with Atrous Convolution
Yaqi Liu, Xianfeng Zhao, Xiaobin Zhu +1
Constrained image splicing detection and localization (CISDL) is a newly proposed challenging task for image forensics, which investigates two input suspected images and identifies…
cs.MM2018★ 9 cited
Adaptive Spatial Steganography Based on Probability-Controlled Adversarial Examples
Sai Ma, Qingxiao Guan, Xianfeng Zhao +1
Explanation from Sai Ma: The experiments in this paper are conducted on Caffe framework. In Caffe, there is an API to directly set the gradient in Matlab. I wrongly use it to contr…
cs.MM2018★ 6 cited
Weakening the Detecting Capability of CNN-based Steganalysis
Sai Ma, Qingxiao Guan, Xianfeng Zhao +1
Recently, the application of deep learning in steganalysis has drawn many researchers' attention. Most of the proposed steganalytic deep learning models are derived from neural net…