Model1h ago
LLMs Fundamentally Vulnerable To Security Hacks
A research team presented a paper at the International Conference on Machine Learning arguing that LLMs cannot be fully secured. This inherent flaw stems from the basic architecture of how these models process data. Developers cannot patch this vulnerability with simple filters. It forces a rethink of how large language models handle sensitive inputs.