> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mindgard.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Ensemble Methods

> Use multiple models in consensus with each other.

export const what_0 = "Ensemble models increase adversarial robustness due to attacks affinities to AI model type."

export const how_0 = "Limits the attackers success due to attacking multiple model families at once."

export const implement_0 = "Model retaining on other model families."

Ensemble methods are when multiple AI models are used in conjunction to achieve better results. It has been recommended to use ensemble models to perform inference as it increases its adversarial robustness. Some attacks may effectively evade one model or model family, however ineffective against others. Using multiple models in conjunction with each other allow model predictions to be verified through consensus, verifying each other's model outputs.

## Explanation

{what_0} 

## How it works

{how_0} 

## How to implement

{implement_0}