What are the different types of AI attacks?
There are several types of AI attacks, including adversarial attacks, data poisoning, and model inversion.
Can you explain adversarial attacks?
Adversarial attacks involve manipulating input data to deceive AI models, often leading to incorrect predictions.
What is data poisoning?
Data poisoning occurs when an attacker injects malicious data into the training set, compromising the model's integrity.
How can we defend against these attacks?
Defenses include robust training methods, anomaly detection, and regular audits of AI systems.
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