Problem statement
Malicious documents inside a healthcare knowledge base may manipulate a RAG-based clinical assistant and distort its responses.
Objective
Test poisoning scenarios in a clinical RAG pipeline and evaluate defenses that detect or reduce malicious document influence.
Student focus
- RAG pipelines
- Prompt/data poisoning
- Clinical AI safety