Glossary
Data Poisoning
An attack against a machine learning system in which an adversary deliberately corrupts the training data to manipulate the model's behavior, such as creating a hidden backdoor or degrading its accuracy. Because models learn from whatever data they are given, poisoning attacks can be difficult to detect after the fact.