Trustworthy Machine Learning

Seminary, Freie Universit├Ąt 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