GLOSSARY TERM

What is Data Poisoning?

A subset of model poisoning focusing specifically on corrupting the training dataset.
Data Poisoning attacks aim to compromise the integrity of the machine learning model by subtly altering the training data.

Stop Data Poisoning

Ensure the integrity of your training datasets.

Stop Poisoning