A Comparative Study of Cross-Model Universal Adversarial Perturbation for Face Forgery. - Shuo-Yen Lin; Jun-Cheng Chen; Jia-Ching Wang (VCIP, 2022)

Video ControlNet: Towards Temporally Consistent Synthetic-to-Real Video Translation Using Conditional Image Diffusion Models. - Ernie Chu; Shuo-Yen Lin; Jun-Cheng Chen (CoRR, 2023)

Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector. - Shuo-Yen Lin; Ernie Chu; Che-Hsien Lin; Jun-Cheng Chen; Jia-Ching Wang (CoRR, 2023)

MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance. - Ernie Chu; Tzuhsuan Huang; Shuo-Yen Lin; Jun-Cheng Chen (AAAI, 2024)