2 citations · 3 across the 4 of their papers we have counts for
5 papers
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…
Universal Stego Post-processing for Enhancing Image Steganography
Bolin Chen, Weiqi Luo, Peijia Zheng +1
It is well known that the designing or improving embedding cost becomes a key issue for current steganographic methods. Unlike existing works, we propose a novel framework to enhan…
Enhancing JPEG Steganography using Iterative Adversarial Examples
Huaxiao Mo, Tingting Song, Bolin Chen +2
Convolutional Neural Networks (CNN) based methods have significantly improved the performance of image steganalysis compared with conventional ones based on hand-crafted features.…
Anti-Forensics of Camera Identification and the Triangle Test by Improved Fingerprint-Copy Attack
Haodong Li, Weiqi Luo, Quanquan Rao +1
The fingerprint-copy attack aims to confuse camera identification based on sensor pattern noise. However, the triangle test shows that the forged images undergone fingerprint-copy…
Identification of Image Operations Based on Steganalytic Features
Haodong Li, Weiqi Luo, Xiaoqing Qiu +1
Image forensics have attracted wide attention during the past decade. Though many forensic methods have been proposed to identify image forgeries, most of them are targeted ones, s…