Model2h ago
LLMs Inherently Vulnerable To Security Hacks
A research team presented a paper at the International Conference on Machine Learning claiming LLMs cannot be fully secured. This fundamental flaw stems from the core architecture of how these models process information. Developers must now accept that total immunity to adversarial attacks is impossible, shifting the focus toward mitigation rather than elimination.