Jailbreak Attacks on Large Language Models and Possible Defenses: Present Status and Future Possibilities

Artificial intelligence (AI) is rapidly advancing with the emergence of large language models (LLMs) as potent tools. However, this potential is accompanied by significant challenges, particularly concerning the security and integrity of these models. AI ethics experts raise serious concerns about the misuse of LLMs like GPT-3, citing risks such as misinformation and harmful content generation through jailbreak attacks. Jailbreak attacks manipulate models to violate ethical guidelines, exposing critical flaws and legal consequences for businesses. This paper analyzes the various jailbreak attack models, categorizes them, and discusses the defense strategies proposed to mitigate these attacks. Moving forward, the paper elucidates the popular datasets, evaluation metrics and finally provides the current state of the research and future challenges in this area.