6 citations · 22 across the 30 of their papers we have counts for
6 papers · 1 filter
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…
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…
DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion
Hanrui Wang, Shuo Wang, Chun-Shien Lu +1
Face recognition poses serious privacy risks due to its reliance on sensitive and immutable biometric data. While modern systems mitigate privacy risks by mapping facial images to…
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…
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…
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…