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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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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.CR2025

Tell-Tale Watermarks for Explanatory Reasoning in Synthetic Media Forensics

Ching-Chun Chang, Isao Echizen

The rise of synthetic media has blurred the boundary between reality and fabrication under the evolving power of artificial intelligence, fueling an infodemic that erodes public tr…

cs.CR2025★ 6 cited

Steganography Beyond Space-Time with Chain of Multimodal AI

Ching-Chun Chang, Isao Echizen

Steganography is the art and science of covert writing, with a broad range of applications interwoven within the realm of cybersecurity. As artificial intelligence continues to evo…

cs.CR2024

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery

Ching-Chun Chang, Kai Gao, Shuying Xu +3

Neural backdoors represent insidious cybersecurity loopholes that render learning machinery vulnerable to unauthorised manipulations, potentially enabling the weaponisation of arti…

cs.CR2024

Minimal Cascade Gradient Smoothing for Fast Transferable Preemptive Adversarial Defense

Hanrui Wang, Ching-Chun Chang, Chun-Shien Lu +3

Adversarial attacks persist as a major challenge in deep learning. While training- and test-time defenses are well-studied, they often reduce clean accuracy, incur high cost, or fa…