67 citations · 96 across the 6 of their papers we have counts for
6 papers
Generalized Face Forgery Detection via Adaptive Learning for Pre-trained Vision Transformer
Anwei Luo, Rizhao Cai, Chenqi Kong +4
With the rapid progress of generative models, the current challenge in face forgery detection is how to effectively detect realistic manipulated faces from different unseen domains…
Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection
Anwei Luo, Chenqi Kong, Jiwu Huang +3
Face forgery detection is essential in combating malicious digital face attacks. Previous methods mainly rely on prior expert knowledge to capture specific forgery clues, such as n…
JPEG Steganography with Embedding Cost Learning and Side-Information Estimation
Jianhua Yang, Yi Liao, Fei Shang +2
A great challenge to steganography has arisen with the wide application of steganalysis methods based on convolutional neural networks (CNNs). To this end, embedding cost learning…
IStego100K: Large-scale Image Steganalysis Dataset
Zhongliang Yang, Ke Wang, Sai Ma +3
In order to promote the rapid development of image steganalysis technology, in this paper, we construct and release a multivariable large-scale image steganalysis dataset called IS…
Spatial Image Steganography Based on Generative Adversarial Network
Jianhua Yang, Kai Liu, Xiangui Kang +2
With the recent development of deep learning on steganalysis, embedding secret information into digital images faces great challenges. In this paper, a secure steganography algorit…
JPEG Steganalysis Based on DenseNet
Jianhua Yang, Yun-Qing Shi, Edward K. Wong +1
Different from the conventional deep learning work based on an images content in computer vision, deep steganalysis is an art to detect the secret information embedded in an image…