In this tutorial video, I delve into the intricate world of prompt injection techniques and how to safeguard against them. Prompt Injection Vulnerability is a serious threat where attackers manipulate language models to execute their intentions, potentially leading to data breaches and social engineering exploits.
I discuss two main types of prompt injections: direct and indirect. Direct injections, also known as “jailbreaking,” involve attackers tampering with the system prompt itself, potentially accessing backend systems and sensitive data. Indirect injections, on the other hand, occur when attackers manipulate external inputs accepted by the language model, hijacking conversations and destabilizing outputs.
Throughout the tutorial, I explore various techniques employed by attackers, including jailbreaking, obfuscation, code injection, and payload splitting. Demonstrating prevention techniques on Google Colab, I highlight the importance of implementing validation mechanisms to secure AI chatbots and language model systems effectively.
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