mlsanityData to 14 Oct 2026

Cryptocurrency Frauds for Dummies: How ChatGPT introduces us to fraud?

arXiv 2406.03079 ↗First posted 5 Jun 2024cs.CL cs.AIcited by 0

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Abstract (arXiv)

Recent advances in the field of large language models (LLMs), particularly the ChatGPT family, have given rise to a powerful and versatile machine interlocutor, packed with knowledge and challenging our understanding of learning. This interlocutor is a double-edged sword: it can be harnessed for a wide variety of beneficial tasks, but it can also be used to cause harm. This study explores the complicated interaction between ChatGPT and the growing problem of cryptocurrency fraud. Although ChatGPT is known for its adaptability and ethical considerations when used for harmful purposes, we highlight the deep connection that may exist between ChatGPT and fraudulent actions in the volatile cryptocurrency ecosystem. Based on our categorization of cryptocurrency frauds, we show how to influence outputs, bypass ethical terms, and achieve specific fraud goals by manipulating ChatGPT prompts. Furthermore, our findings emphasize the importance of realizing that ChatGPT could be a valuable instructor even for novice fraudsters, as well as understanding and safely deploying complex language models, particularly in the context of cryptocurrency frauds. Finally, our study underlines the importance of using LLMs responsibly and ethically in the digital currency sector, identifying potential risks and resolving ethical issues. It should be noted that our work is not intended to encourage and promote fraud, but rather to raise awareness of the risks of fraud associated with the use of ChatGPT.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 20 references that are in the map. First posted on arXiv 5 Jun 2024.

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References · 8

  1. 2020Efficient Transformers: A Surveycited by 790
  2. 2023Jailbreaking ChatGPT via Prompt Engineering: An Empirical Studycited by 498
  3. 2023Efficient Large Language Models: A Surveycited by 186
  4. 2023Spear Phishing With Large Language Modelscited by 52
  5. 2023A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutionscited by 35
  6. 2018Data mining for detecting Bitcoin Ponzi schemescited by 17
  7. 2020Tracing Cryptocurrency Scams: Clustering Replicated Advance-Fee and Phishing Websitescited by 5
  8. 2020Characterizing Cryptocurrency Exchange Scamscited by 2

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