Module 3: Data Poisoning
Overview
Examines how training data can be manipulated to compromise model integrity.
Labs
Lab 3a: Label Flipping Attacks
Learn how flipping labels in the training set can degrade model performance.
Lab 3b: Backdoor & Trigger Injection
Implement backdoor attacks where a specific trigger in the input causes the model to misbehave.