3 papers
cs.CV2026
ColoDiff: Integrating Dynamic Consistency With Content Awareness for Colonoscopy Video Generation
Junhu Fu, Shuyu Liang, Wutong Li +9
Colonoscopy video generation delivers dynamic, information-rich data critical for diagnosing intestinal diseases, particularly in data-scarce scenarios. High-quality video generati…
cs.LG2026
Can We Infer Confidential Properties of Training Data from LLMs?
Pengrun Huang, Chhavi Yadav, Kamalika Chaudhuri +1
Large language models (LLMs) are increasingly fine-tuned on domain-specific datasets to support applications in fields such as healthcare, finance, and law. These fine-tuning datas…
cs.CV2025
VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation
Peng Huang, Junhu Fu, Bowen Guo +3
As the appearance of medical images is influenced by multiple underlying factors, generative models require rich attribute information beyond labels to produce realistic and divers…