2 citations · 3 across the 6 of their papers we have counts for
6 papers
Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning
Zhen Li, Gang Cao, Tian Zhang +2
The rapid advancement of large-scale generative models has accelerated the spread of highly deceptive AI-generated images, making generalized synthetic image detection a critical i…
Transferable Dual-Domain Feature Importance Attack against AI-Generated Image Detector
Weiheng Zhu, Gang Cao, Jing Liu +2
Recent AI-generated image (AIGI) detectors achieve impressive accuracy under clean condition. In view of antiforensics, it is significant to develop advanced adversarial attacks fo…
Image Forgery Localization with State Space Models
Zijie Lou, Gang Cao, Kun Guo +2
Pixel dependency modeling from tampered images is pivotal for image forgery localization. Current approaches predominantly rely on Convolutional Neural Networks (CNNs) or Transform…
Exploring Multi-view Pixel Contrast for General and Robust Image Forgery Localization
Zijie Lou, Gang Cao, Kun Guo +2
Image forgery localization, which aims to segment tampered regions in an image, is a fundamental yet challenging digital forensic task. While some deep learning-based forensic meth…
Transferable Adversarial Attack on Image Tampering Localization
Yuqi Wang, Gang Cao, Zijie Lou +1
It is significant to evaluate the security of existing digital image tampering localization algorithms in real-world applications. In this paper, we propose an adversarial attack s…
Acceleration of Histogram-Based Contrast Enhancement via Selective Downsampling
Gang Cao, Huawei Tian, Lifang Yu +2
In this paper, we propose a general framework to accelerate the universal histogram-based image contrast enhancement (CE) algorithms. Both spatial and gray-level selective down-sam…