Vulnerabilities
Study Reveals Vulnerabilities of LLMs to Bit-Flip Attacks
A recent study reveals that large language models (LLMs) are vulnerable to bit-flip attacks, which can drastically reduce their performance, prompting the introduction of a new framework called AttentionBreaker to identify and exploit these vulnerabilities.