Term · Topic

Adversarial Training

Q: What is Adversarial Training?

Adversarial training is a Machine Learning (ML) technique that trains models on adversarially perturbed inputs to increase robustness against intentionally crafted attacks that aim to cause misclassification or undesired model behavior. Expanded Explanation 1. Technical Function and Core Characteristics Adversarial training augments the training dataset with adversarial examples, which result from small but targeted perturbations to original inputs that alter model predictions. The training

Adversarial training is a machine learning defense technique that trains models on adversarially perturbed inputs to improve robustness against crafted attacks, helping enterprises reduce model vulnerabilities in security-sensitive applications and support risk management, governance, and assurance for production AI systems.

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MCP

curl -X POST https://mcp.decisioninsights.ai/api/mcp-public \
  -H "content-type: application/json" \
  -H "accept: application/json, text/event-stream" \
  -d '{"id":1,"jsonrpc":"2.0","method":"tools/call","params":{"arguments":{"slug":"adversarial-training"},"name":"di_get_term"}}'

REST

GET https://api.decisioninsights.ai/api/public/v1/glossary/fea77d18-c5cd-4848-9f9f-9f58013bcc01

CLI

di get-glossary --slug adversarial-training

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How an agent can rely on this definition

What the record lets an agent check before it uses the term in an answer.

The check	What the record shows	Where it is in the data
It's a known term	One entry, with its type (topic)	`name`
It sits in a glossary	Linked to Adversarial ML, Adversarial Machine Learning, Adversarial Robustness, Model Poisoning	`inDefinedTermSet`

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