Backdoors in LLMs: Why model scanning isn't enough

This blog post discusses the inadequacies of model scanning in ensuring the safety and integrity of machine learning models, particularly in the context of backdoors that may exist within them. It emphasizes the risks involved when deploying unchecked models and critiques over-reliance on initial benchmarks.