<ul><li>Large Language Models (LLMs) like ChatGPT, Claude, and Llama have opened up new attack surfaces despite offering tremendous capabilities.</li><li>Techniques like the Context Ignoring Attack exploit the limitations in how LLMs process information to potentially bypass safeguards.</li><li>Prompt Leaking involves trying to extract system prompts to understand model limitations and create targeted attacks.</li><li>Role Play Attacks leverage the creative scenarios of LLMs to bypass safety measures by engaging the model in unethical roles.</li><li>Prefix Injection manipulates model responses by adding specific text at the beginning of queries, influencing the output.</li><li>Refusal Suppression attacks aim to stop LLMs from declining harmful queries by instructing them to avoid refusal statements.</li><li>Sophisticated attackers combine techniques like refusal suppression and context ignoring for more successful attacks.</li><li>Understanding vulnerabilities in LLMs is crucial as they become more integrated, leading to an escalating battle between exploiters and defenders.</li></ul>

Hacking Artificial Intelligence (AI) Large Language Models (LLMs)

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