Using LLMs in a production environment presents security challenges that include vulnerabilities to jailbreaks and prompt injections, which can result in harmful outputs for humans or the enterprise.
Large Language Models (LLMs) are susceptible to jailbreaking attacks, where carefully crafted malicious inputs bypass safety guardrails and provoke harmful responses. We introduce AutoAdv, a novel aut
Large Language Models (LLMs) are susceptible to jailbreaking attacks, where carefully crafted malicious inputs bypass safety guardrails and provoke harmful responses. We introduce AutoAdv, a novel aut
Engaging in the deliberate generation of abnormal outputs from Large Language Models (LLMs) by attacking them is a novel human activity. This paper presents a thorough exposition of how and why people