7 citations · 23 across the 10 of their papers we have counts for
10 papers
Steal My Artworks for Fine-tuning? A Watermarking Framework for Detecting Art Theft Mimicry in Text-to-Image Models
Ge Luo, Junqiang Huang, Manman Zhang +3
The advancement in text-to-image models has led to astonishing artistic performances. However, several studios and websites illegally fine-tune these models using artists' artworks…
Learning to Immunize Images for Tamper Localization and Self-Recovery
Qichao Ying, Hang Zhou, Zhenxing Qian +2
Digital images are vulnerable to nefarious tampering attacks such as content addition or removal that severely alter the original meaning. It is somehow like a person without prote…
Hiding Images in Deep Probabilistic Models
Haoyu Chen, Linqi Song, Zhenxing Qian +2
Data hiding with deep neural networks (DNNs) has experienced impressive successes in recent years. A prevailing scheme is to train an autoencoder, consisting of an encoding network…
Multimodal Fake News Detection via CLIP-Guided Learning
Yangming Zhou, Qichao Ying, Zhenxing Qian +2
Multimodal fake news detection has attracted many research interests in social forensics. Many existing approaches introduce tailored attention mechanisms to guide the fusion of un…
Imperceptible Backdoor Attack: From Input Space to Feature Representation
Nan Zhong, Zhenxing Qian, Xinpeng Zhang
Backdoor attacks are rapidly emerging threats to deep neural networks (DNNs). In the backdoor attack scenario, attackers usually implant the backdoor into the target model by manip…
From Image to Imuge: Immunized Image Generation
Qichao Ying, Zhenxing Qian, Hang Zhou +3
We introduce Imuge, an image tamper resilient generative scheme for image self-recovery. The traditional manner of concealing image content within the image are inflexible and frag…