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In this research, we aim to explore the potential of natural language models (NLMs) such as GPT-3 and GPT-2 to generate effective phishing emails.
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(2022) clean-text · pypi. [Online]. Available: https://pypi.org/project/clean-text/
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(2022) rabimba/email-gen-nlg: https://github.com/rabimba/email-gen-nlg. [Online]. Available: https://github.com/rabimba/email-gen-nlg
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R. Zellers, A. Holtzman, H. Rashkin, Y. Bisk, A. Farhadi, F. Roesner, and Y. Choi, “Defending against neural fake news,” Advances in neural information processing systems , vol. 32, 2019
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K. Shu, S. Wang, D. Lee, and H. Liu, “Mining disinformation and fake news: Concepts, methods, and recent advancements,” in Disinformation, misinformation, and fake news in social media . Springer, 2020, pp. 1–19
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M. M. Bhat and S. Parthasarathy, “How effectively can machines defend against machine-generated fake news? an empirical study,” in Proceedings of the First Workshop on Insights from Negative Results in NLP , 2020, pp. 48–53
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2022
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J. Rodriguez, T. Hay, D. Gros, Z. Shamsi, and R. Srinivasan, “Cross-domain detection of gpt-2-generated technical text,” in Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , 2022, pp. 1213–1233
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(2022) dionach/phemail: Phemail is a python open source phishing email tool that automates the process of sending phishing emails as part of a social engineering test. [Online]. Available: https://github.com/Dionach/PhEmail
2022
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