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Engineered Persuasion: Evaluating Personalized Pretexts in LLM-Generated Spear Phishing

Francia, Jerson et al.
arXiv (All) · Papers
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cryptography-and-security
Large language models can insert workplace details into phishing pretexts at low cost, but those details may either support or undermine a message's credibility. We recruited 180 U.S. working adults to evaluate simulated, AI-generated phishing emails in a disclosed survey. The emails used four cumul
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