Adversarial Attacks
Understand adversarial attacks that manipulate ML models by creating problematic inputs. This lesson covers examples for text, autonomous vehicles, and voice recognition, helping you identify vulnerabilities and apply mitigation techniques to protect model integrity.
We'll cover the following...
We'll cover the following...
Adversarial attacks are a type of model security concern where an attacker tries to create a problematic input that creates negative consequences. It is, in a way, reverse-engineering the model itself.
Adversarial attacks
Any kind of model can be attacked in this way. From image to tabular data, adversarial attacks represent a ...