What are some common attack vectors for AI models?

What are some common attack vectors for AI models?

Common attack vectors for AI models include data poisoning, adversarial attacks, and model inversion.

Can you explain data poisoning in more detail?

Data poisoning involves injecting malicious data into the training set, which can mislead the model's learning process.

What are adversarial attacks?

Adversarial attacks are techniques that manipulate input data to deceive AI models, causing them to make incorrect predictions.

How can we protect AI models from these attacks?

Protection strategies include robust training, anomaly detection, and regular audits of the model's performance.