Research Index

A novel defense mechanism against data poisoning in medical LLMs using iterative diffusion models to detect and filter malicious training data. The approach combines knowledge graph validation with discrete diffusion modeling to create a robust verification layer that can identify and neutralize poisoned data before model training.