# Exam June 2022
1. LORE, 2 components and how are they used
2. Zero shot learning , describe concept, why is it useful
3. Watermarking and fingerprinting
4. Federated learning, 2 algos describe how, shortcomings, whats a similar approach
5. CIA triangle for training and test time attacks
6. Adversarial 2 example attacks and 2 defence examples

# Exam October 2022
1. Describe Diro2C and steps
2. Describe LIME and whether it is model-agnostic or not
3. Scenario: you run a hospital, how do you join a statistical model with other hospitals without breaching privacy
4. Model Stealing, describe threat model, attack strategies, and defences
5. Scenario: You use an employee photo database to train a facial recognition model. Discuss privacy and security risks
6. Describe two defences against Evasion attacks