2022

Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods

Crothers, Evan, Japkowicz, Nathalie, Viktor, Herna

Understand

Machine generated text is increasingly difficult to distinguish from human authored text.

  • Powerful open-source models are freely available, and user-friendly tools that democratize access to generative models are proliferating.
  • ChatGPT, which was released shortly after the first edition of this survey, epitomizes these trends.
  • The great potential of state-of-the-art natural language generation (NLG) systems is tempered by the multitude of avenues for abuse.

Reading the bibliography…