3 citations · 3 across the 3 of their papers we have counts for
4 papers
A Novel Residual-guided Learning Method for Image Steganography
Miaoxin Ye, Dongxia Huang, Kangkang Wei +1
Traditional steganographic techniques have often relied on manually crafted attributes related to image residuals. These methods demand a significant level of expertise and face ch…
AI-Generated Image Detection using a Cross-Attention Enhanced Dual-Stream Network
Ziyi Xi, Wenmin Huang, Kangkang Wei +2
With the rapid evolution of AI Generated Content (AIGC), forged images produced through this technology are inherently more deceptive and require less human intervention compared t…
Universal Deep Network for Steganalysis of Color Image based on Channel Representation
Kangkang Wei, Weiqi Luo, Shunquan Tan +1
Up to now, most existing steganalytic methods are designed for grayscale images, and they are not suitable for color images that are widely used in current social networks. In this…
Improved Xception with Dual Attention Mechanism and Feature Fusion for Face Forgery Detection
Hao Lin, Weiqi Luo, Kangkang Wei +1
With the rapid development of deep learning technology, more and more face forgeries by deepfake are widely spread on social media, causing serious social concern. Face forgery det…