Understanding Data Poisoning Attacks on AI Models

A data poisoning attack involves injecting corrupted data into AI models. This technique aims to disrupt the normal functioning of models by introducing erroneous or malicious data. It is crucial to implement strategies to detect, prevent, and mitigate the risks associated with these attacks.