Privacy and Security in AI Quiz

What you'll be asked

1. Which of the following is a fundamental principle of privacy-preserving AI that ensures an individual's data cannot be re-identified from a dataset?
2. When training a machine learning model on sensitive user data, what is the primary benefit of using Differential Privacy?
3. An organization wants to train a global model using data stored on thousands of edge devices without moving the raw data to a central server. Which architectural approach should they adopt?
4. What is a major security risk specifically associated with large language models (LLMs) that involves tricking the model into revealing sensitive information it was trained on?
5. In the context of AI security, what is the purpose of performing a 'Red Teaming' exercise on a new AI system?

Answers and explanations come after you submit.