3 papers
cs.CV2026
DeepFreqMark: End-To-End Learnable Frequency-Domain Watermarking with Spherical Attack Simulation for Latent Diffusion Models
Chen-Hsiu Huang, Mario Köppen, Ja-Ling Wu
The proliferation of AI-generated images produced by Latent Diffusion Models (LDMs) has raised critical concerns regarding copyright infringement and misinformation. Although exist…
eess.IV2026
Variable-Rate Deep Image Compression based on Low-Rank Adaptation by Progressive Learning
Xing-Yu Xu, Chen-Hsiu Huang, Ja-Ling Wu
In the digital age, image compression is crucial for numerous applications, including web media, streaming services, high-resolution medical imaging, and connected vehicle networks…
cs.CV2024
SLIC: Secure Learned Image Codec through Compressed Domain Watermarking to Defend Image Manipulation
Chen-Hsiu Huang, Ja-Ling Wu
The digital image manipulation and advancements in Generative AI, such as Deepfake, has raised significant concerns regarding the authenticity of images shared on social media. Tra…