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20232026
most citedExploring Multi-view Pixel Contrast for General and Robust Image Forgery Localization

2 citations · 3 across the 5 of their papers we have counts for

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cs.CV2026

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…

cs.CV2025

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…

cs.CV20241 cited

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…

cs.CV20242 cited

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…

cs.CV2023

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…