Researchers find just 250 malicious documents can leave LLMs vulnerable to backdoors
NegativeTechnology

A recent study reveals that as few as 250 malicious documents can expose large language models (LLMs) to significant vulnerabilities, potentially allowing for backdoor attacks. This finding is crucial as it highlights the need for enhanced security measures in AI systems, especially given their increasing integration into various sectors. The implications of such vulnerabilities could be far-reaching, affecting everything from data privacy to the reliability of AI-generated content.
— Curated by the World Pulse Now AI Editorial System