The Cybersecurity Crisis of Artificial Intelligence: Unrestrained Adoption and Natural Language-Based Attacks

Andreas Tsamados, Luciano Floridi, Mariarosaria Taddeo
9/25/2023
cs.CYcs.AIcs.CL

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Abstract

The widespread integration of autoregressive-large language models (AR-LLMs), such as ChatGPT, across established applications, like search engines, has introduced critical vulnerabilities with uniquely scalable characteristics. In this commentary, we analyse these vulnerabilities, their dependence on natural language as a vector of attack, and their challenges to cybersecurity best practices. We offer recommendations designed to mitigate these challenges.

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Cite this paper

@article{tsamados2023cybersecurity,
  title  = {The Cybersecurity Crisis of Artificial Intelligence: Unrestrained Adoption and Natural Language-Based Attacks},
  author = {Andreas Tsamados and Luciano Floridi and Mariarosaria Taddeo},
  year   = {2023},
  eprint = {2311.09224},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.09224v1}
}

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