In this section, we utilize the synthesis of TNT as a representative case to examine the effects of different prompting strategies on the attack GPT-4-o and Llama-3-70B-Instruct. By comparing these approaches, we highlight how varying prompts can influence the performance and vulnerability of each model under attack scenarios.
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SMILES-Prompting: A Novel Approach to LLM Jailbreak Attacks in Chemical Synthesis
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