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most citedSteganography Beyond Space-Time with Chain of Multimodal AI

6 citations · 16 across the 22 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

AngelFingerprint: A Traceable, Explainable, and White-Box Stealthy Watermark for Text-Guided Image Editing

Bo-Han Kung, Futa Waseda, Ching-Chun Chang +2

Text-guided diffusion editing raises disinformation concerns, making reliable image provenance essential. While watermarks are commonly used for this purpose, most methods carry a…

cs.CR2026

Retrosynthesis of Synthetic Media for Explainable AI Provenance Forensics

Yijie Lin, Ching-Chun Chang, Isao Echizen +2

With the rapid proliferation of generative models on Machine Learning as a Service (MLaaS) platforms, reliably tracing the provenance of synthetic media without modifying generator…

cs.CV2026

Semantic Color Naturalness Breaker: Preventing Illegitimate Colorization via Content-Aware Color Priors

Yuki Nii, Futa Waseda, Ching-Chun Chang +1

Automatic image colorization enables large-scale and low-cost reuse of grayscale media (e.g., manga panels and archival photographs), facilitating unauthorized reuse and redistribu…

cs.AI2026

On the Origin of Synthetic Information by Means of Steganographic Inheritance

Ching-Chun Chang, Isao Echizen

The origin of species has been the mystery of mysteries in natural science. By analogy, the origin of synthetic information, we suggest, is the mystery of mysteries in information…

cs.AI2026

Role-Aware Artificial Intelligence Across Augmentation and Automation in Human-Machine Symbiosis

Ching-Chun Chang, Yuchen Guo, Hanrui Wang +2

The evolution of artificial intelligence (AI) has rendered the boundary between humanity and computational machinery increasingly ambiguous. In the presence of more interwoven rela…

cs.CV2026

EvoGuard: An Extensible Agentic RL-based Framework for Practical and Evolving AI-Generated Image Detection

Chenyang Zhu, Maorong Wang, Jun Liu +2

The rapid proliferation of AI-Generated Images (AIGIs) poses severe misinformation risks, making AIGI detection critical yet challenging. Traditional detection paradigms mainly rel…