9 citations · 38 across the 12 of their papers we have counts for
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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…
cs.MM2017
Further Study on GFR Features for JPEG Steganalysis
Xia Chao, Guan Qingxiao, Zhao Xianfeng
The GFR (Gabor Filter Residual) features, built as histograms of quantized residuals obtained with 2D Gabor filters, can achieve competitive detection performance against adaptive…