Explanation
Tainted training data is a type of data poisoning attack that involves modifying or injecting malicious data into the training dataset of a machine learning or artificial intelligence system. It can cause the system to learn incorrect or biased patterns and produce inaccurate or malicious outcomes. It is the most likely reason for the inaccuracy of the system that is using information collected from third-party providers that have been compromised by an attacker.