Assessing the Security of Large Language Models - Exploring vulnerabilities, threats, and potential malicious use cases for generative AI as presented by the rapid proliferation of LLMs

This paper explores vulnerabilities, threats, and potential malicious use cases for generative AI, as presented by the rapid proliferation of Large Language Models (LLMs). Topics include security, privacy and confidentiality, discrimination and fairness, and code generation. Download the Document