Trustworthy Machine Learning
Seminary, Freie Universität Berlin, Department of Computer Science, 2022
Held a Master level seminary about Trustworthy Machine Learning. The seminary covered the following topics:
- integrity attacks against ML models at training time
- integrity attacks and defenses against ML models at test time
- ML model confidentiality
- privacy attacks against ML models
- differential privacy
- fairness and ethics
- trustworthiness in federated learning