4 papers
Mitigating Memorization in Text-to-Image Diffusion via Region-Aware Prompt Augmentation and Multimodal Copy Detection
Yunzhuo Chen, Jordan Vice, Naveed Akhtar +2
State-of-the-art text-to-image diffusion models can produce impressive visuals but may memorize and reproduce training images, creating copyright and privacy risks. Existing prompt…
Dynamic watermarks in images generated by diffusion models
Yunzhuo Chen, Naveed Akhtar, Nur Al Hasan Haldar +1
High-fidelity text-to-image diffusion models have revolutionized visual content generation, but their widespread use raises significant ethical concerns, including intellectual pro…
Image Watermarking of Generative Diffusion Models
Yunzhuo Chen, Jordan Vice, Naveed Akhtar +2
Embedding watermarks into the output of generative models is essential for establishing copyright and verifiable ownership over the generated content. Emerging diffusion model wate…
Deepfake Detection with Spatio-Temporal Consistency and Attention
Yunzhuo Chen, Naveed Akhtar, Nur Al Hasan Haldar +1
Deepfake videos are causing growing concerns among communities due to their ever-increasing realism. Naturally, automated detection of forged Deepfake videos is attracting a propor…