MLchartDataset catalogue

GAN

Term · Cybersecurity · MLC-T-CYB-001829

A machine learning framework in which two neural networks contest with each other in the form of a zero-sum game, where one agent’s gain is another agent’s loss. A GAN learns to generate new data with the same statistics as the training set.

Table 1. Record
IdentifierMLC-T-CYB-001829
FieldCybersecurity
Expansionsgenerative adversarial networks
ReferencesNIST AI 100-2e2025; NIST CSRC Glossary
Record as JSON 
{
  "id": "MLC-T-CYB-001829",
  "term": "GAN",
  "field": "Cybersecurity",
  "definition": "A machine learning framework in which two neural networks contest with each other in the form of a zero-sum game, where one agent’s gain is another agent’s loss. A GAN learns to generate new data with the same statistics as the training set.",
  "expansions": [
    "generative adversarial networks"
  ],
  "references": [
    "NIST AI 100-2e2025",
    "NIST CSRC Glossary"
  ],
  "url": "https://mlchart.com/terminology/cybersecurity/gan/"
}

Record 1,829 of 4,693 in Cybersecurity terminology (MLC-0102). Request the full dataset.