What are the main challenges in AI security?

What are the main challenges in AI security?

The main challenges in AI security include data privacy, adversarial attacks, and ensuring model robustness.

Can you explain what adversarial attacks are?

Adversarial attacks involve manipulating input data to deceive AI models, leading to incorrect predictions.

How can we improve the robustness of AI models?

Improving robustness can be achieved through techniques like adversarial training, regularization, and model validation.

What role does data privacy play in AI security?

Data privacy is crucial as it protects sensitive information from unauthorized access and ensures compliance with regulations.