# Hugging Face — How to train your model dynamically using adversarial data

- Company: Hugging Face (huggingface.co)
- Announced: 2022-07-16
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/mnist-adversarial
- Record: https://forck.live/items/2176-how-to-train-your-model-dynamically-using-adversarial-data
- Subject: Platform

The concept of dynamic adversarial data collection (DADC) and provides a step-by-step tutorial on how to implement it using an MNIST handwritten digit recognition model with Hugging Face Spaces and Gradio.

## Evidence

Verbatim from https://huggingface.co/blog/mnist-adversarial:

> Dynamic adversarial data collection (DADC) holds great promise as an approach to mitigate some of the issues of static benchmarks.

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Record: https://forck.live/items/2176-how-to-train-your-model-dynamically-using-adversarial-data
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